Cloud computing services – ICT Nieuws http://ictnieuws.net/ Fri, 20 May 2022 06:49:45 +0000 en-US hourly 1 https://wordpress.org/?v=5.9.3 https://ictnieuws.net/wp-content/uploads/2021/10/icon-37-120x120.png Cloud computing services – ICT Nieuws http://ictnieuws.net/ 32 32 Blockchain Data Platform Leader Issues Warning Over Rising Cryptocurrency Crime https://ictnieuws.net/blockchain-data-platform-leader-issues-warning-over-rising-cryptocurrency-crime/ Fri, 20 May 2022 06:49:45 +0000 https://ictnieuws.net/blockchain-data-platform-leader-issues-warning-over-rising-cryptocurrency-crime/ CNME Editor-in-Chief Mark Forker sat down with Kim Grauer, Director of Research at Chainalysis, to learn more about some of the key findings that emerged from their 2022 Crypto Crime Report – and the how the blockchain-based data platform provides law enforcement with the “best data.” ‘ available to help them fight cryptocurrency crime. NFTs […]]]>

CNME Editor-in-Chief Mark Forker sat down with Kim Grauer, Director of Research at Chainalysis, to learn more about some of the key findings that emerged from their 2022 Crypto Crime Report – and the how the blockchain-based data platform provides law enforcement with the “best data.” ‘ available to help them fight cryptocurrency crime.

NFTs are everywhere and their popularity has exploded in the last 12 months. However, as is the case with any new disruptive technology, there is always the possibility that the technology could be misused, and this has certainly proven to be the case when it comes to NFTs.

A comprehensive report compiled by blockchain-based data platform company Chainalysis illustrated concrete evidence that the rise in demand for NFTs has caught the attention of cybercriminals, who we know are well accustomed to following.” the noise”.

Since its inception in 2014, Chainalysis has enjoyed phenomenal success providing cryptocurrency exchanges, international law enforcement agencies and other clients with blockchain transaction analysis software to help them comply regulations, assess risks and identify illegal activities.

CNME managed to secure an exclusive interview with Kim Grauer of Chainalysis, to further explore how NFTs are used for illicit activities.

The report by Chainalysis revealed that there was a significant amount of washout trading when it comes to NFT markets – and Grauer kicked off the conversation by explaining what exactly washout trading is.

“Wash Trading is something we hear about in the crypto space, and it’s basically buying your own asset to artificially inflate the demand for that particular asset. For example, let’s say I start an NFT, but that no one buys it, I then proceed to fake request by buying my own NFT to make it look like there’s a lot of hype around this NFT, hoping it leads to someone believing that hype and buy the NFT,” Grauer said.

Wash trade is not a new concept in the cryptocurrency industry, but as Grauer has pointed out in the past, people were unable to gauge how bad it was until Chainalysis enters the fray.

“We have been hearing about wash trading in the crypto space for a long time, however, it has never been possible, or no one has been able to accurately estimate how much wash trading is happening. Some analysts will argue that 90% of order book volumes are fictitious trades, but there is very little evidence to support this claim.However, our approach is the first real data-driven attempt to demonstrate that wash trade occurs with NFT,” Grauer said.

Interestingly, the research director revealed that contrary to what people would expect, it is not so profitable to wash trade NFTs due to the excessive cost of transaction fees – and explained how they use their technology to track it.

“You can identify wash trading on the blockchain by simply looking to see if the person who bought the NFT on the platform received the money from the person who was selling the NFT on the platform. What we found with of the population of people who exhibited this behavior is that the majority did not make any money in this effort, simply because they spent more in transaction fees than they received of people falling from this scam One person we really looked at tried to wash his asset 800 times but it cost him about $32,000 in transaction fees but he only got $27,000 from people There was a small population making money, and a few of them were making a lot of money, but it’s still a big risk,” Grauer said.

Grauer added that people who engage in this activity are space-tuned and likely have a better idea of ​​what types of NFTs to pump, but stressed that it would still be a big risk.

As for what really triggered the explosion of interest, demand and investment in NFTs, Grauer said it was a combination of the fear of missing out on something big and the philosophical offerings of some NFTs have resonated with many potential investors.

“I think the interesting thing about NFTs is the potential for disruption because it represents this new digital concept of ownership. You have a feeling it’s going to be big, but you’re not sure why it’s going to be big. I believe the more philosophical offerings of NFTs are extremely appealing to people, and it could really disrupt the way we handle things. I think any space that’s growing very quickly will have people come in and bid to make sure they don’t miss the opportunity, so it explodes faster because investors don’t know what’s going to happen, but they don’t want to miss it. The hype has increased and we have brought many people into the industry, and now we have to put our money where our mouth is. We have to make these killer apps for people, so a lot depends on what comes from these developers and big business,” Grauer said.

The software deployed by Chainalysis has helped law enforcement uncover some of the internet’s darker underbelly, and Grauer explained how they equip agencies with the tools they need to uncover this kind of incognito crime.

“We invest most of our resources in identifying services, and we have experts in many areas of crime. We have an expert in human trafficking and child abuse and darknet markets, and they work to ensure that our data platform has all the best data – and is in partnership with the right people. We allow law enforcement officers to see transactions from human trafficking wallets, and then we step in and also provide data and investigative support. We work with cryptocurrency companies, financial institutions, government agencies and law enforcement, and each of them has a different data need and we meet their data needs with a different product. For example, with law enforcement, we will provide them with investigative products, while with financial institutions, we will provide them with compliance products,” Grauer said.

Regarding what she considered to be one of the most interesting trends to emerge from their 2022 Crypto Crime Report, she cited the growth of hacking and De-Fi this year.

“A common thread throughout our conversation is that all of this growth comes with risk, and people are investing in platforms that have been hacked and are insecure, so there is this need to have sustainable growth. where you can integrate new people in a sustainable way in the sense that it is not going to be the victim of an attack. We’ve seen this massive explosion of De-Fi and NFT, but it’s been countered by an explosion of hacking and scamming. We are working on industry solutions to combat this crime. A good illustration of this is that some exchanges use our software to prevent their clients from sending known scams and this has had the effect of reducing the number of scams by 80%,” Grauer said.

When it comes to what differentiates Chainalysis from its competitors in the market, the company’s research director was candid and concise in her response, saying she simply believes they have the best data.

“We try to illustrate how we are the best in the market with our reports, but I think we really bring the best data. We’ve been around since 2014, we have the best attribution, the best insight into how many crimes are happening, and we really are the best in the business in terms of the quality of our data, and that’s why we publish these reports, and in not only because we need to tell people about trends, but also because we are confident in the quality of our data. In summary, you won’t see this level of reporting in any of our competitors’ marketing materials, and the reason for that is if our rivals could, they would,” Grauer said.

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MTSU’s Dr. Ryan Otter discusses the data science institute https://ictnieuws.net/mtsus-dr-ryan-otter-discusses-the-data-science-institute/ Wed, 18 May 2022 20:01:45 +0000 https://ictnieuws.net/mtsus-dr-ryan-otter-discusses-the-data-science-institute/ MTSU Biology Professor Ryan Otter, Director of the Data Science Institute, inspects one of the model runners who would compete in the Nov. 13 “AWS DeepRacer” event to be held in the atrium of the MTSU Science Building. The event, which featured five teams piloting autonomous racing models, was sponsored by the MTSU Data Science […]]]>

MTSU Biology Professor Ryan Otter, Director of the Data Science Institute, inspects one of the model runners who would compete in the Nov. 13 “AWS DeepRacer” event to be held in the atrium of the MTSU Science Building. The event, which featured five teams piloting autonomous racing models, was sponsored by the MTSU Data Science Institute and Amazon Web Services. (MTSU Photo by Cat Curtis Murphy)

Data is becoming an area of ​​focus for businesses and universities. By educating students about the growing field of data science, MTSU’s Data Science Institute (DSI) provides future data scientists with experience in data collection and analysis.

Dr. Ryan Otter is the Director of CIO at MTSU. He sympathizes with anyone trying to pin down data science with an exhaustive definition.

“I sort of bundle together data science, analytics, predictive modeling, artificial intelligence, machine learning, deep learning… It all comes down to one really big picture for me,” said Dr. Otter told Murfreesboro Voice. “Who is ‘How do you convert complex things into actionable things?'”

Dr. Otter’s background is actually in biology. He is a pollution specialist (“ecotoxicologist”) who uses data science to study chemical pollution affecting different places. He says data science plays a vital role in his work.

“If you have all the data from the best sites in the world, but you can’t analyze it to act on it, what do you have?” asks Dr. Otter.

The academic leap from environmental science to data science as a whole could feel like a huge career transition. For Dr. Otter, it was a chance to double down on the fundamentals. Data science is set to transform multiple industries In the years to come. Because it is a relatively new technological discipline, specialists who have used data science for their own work have now become the experts for widespread data science training.

“It wasn’t until the mid-1970s that any university in America – or the world, for that matter – had a computer science department, right? Before the mid-1970s, computers didn’t even exist. Data science didn’t exist until about five or six years ago,” says Dr. Otter. “So no one is trained and developed in data science! We all come from these strange pockets of space, of frustration in our own domains. Ten years from now, we’ll have all these products of students getting degrees in data science. It’s really going to change the landscape, the same way computing changed the landscape in the mid-1970s.”

Dr. Otter says data science tools used to be inaccessible to those outside of certain industries. Data science first crept into the workforce through the financial industry. People who want to outsmart the performance of certain markets have popularized these tools. Marketers have turned to these financial assistants using data science and applied it to their own businesses through predictive algorithms to anticipate consumer behavior. The healthcare industry was next to embrace data science. For health care, the information could be applied in ways that extend to larger populations or focus on an individual’s parameters.

“All of these areas have one thing in common. They are extremely well funded,” says Dr. Otter.

These sectors have spent 25 years funding data science, helping to democratize the technology by making it cheaper. This accessibility has enormously developed data science, which means that anyone with a smartphone can now create and/or collect data. Small businesses, for example, can now access tools that were once only available to wealthier competitors.

Dr Otter says: “It boils down to a lot of data science tools – analytical tools that were first and foremost developed at a high price in an essentially proprietary way -[are] now open-source with free availability…including those we train our employees on. It wasn’t even possible until recently.

If “data” seems like a vague term, it’s because the definition of “data” can vary from entity to entity. It is also useful to think of “data” as the raw material collected. For the purposes of data science, “information” is the contextualized data assembled to inform decisions.

The relativity of these terms can be confusing to people outside the data science space. Dr. Otter recommends people think about their goals for making sense of data science, as uses vary from case to case.

An example of the differences in data usage can be found in typical business challenges.

A physical business owner can assign a value to something like the average time spent in their store. That same owner may also have an online website that collects information about how long people spend browsing their merchandise.

Regardless of how “data” may be defined, Dr. Otter’s work at DSI prepares students for jobs that use data science. In partnership with public and private sector organizations, the DSI offers undergraduate, graduate and doctoral programs in data science.

“We also have a graduate certificate in data science, which aims to help people who have already graduated from university to come back and learn data skills that they can then apply to any content area they want to enter,” said Dr. Otter. said.

DSI’s current portfolio of work is 75% environmental science, 15% community health, and 10% “other” category work.

Dr. Otter tells Murfreesboro Voice that DSI is gearing up for several exciting projects.

He says, “This summer at MTSU, myself and a few colleagues…we’re actually bringing [high school] students on campus for three weeks. The first week, students receive data science training from our team. The second week, they 3D print and build their own drones and they fly them… to collect data. And then, in the background, we’ll use the data science that we taught them upstream to analyze the data that they collected from their drones. »

Dr. Otter adds that this project, which received a grant from the U.S. Department of Agriculture, will combine interdisciplinary efforts between DSI and MTSU’s agriculture and aerospace departments.

For more information on MTSU’s Data Science Institute, be sure to visit its website.

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Top five AI-powered blockchain projects to watch – TechEconomy.ng https://ictnieuws.net/top-five-ai-powered-blockchain-projects-to-watch-techeconomy-ng/ Tue, 17 May 2022 13:10:41 +0000 https://ictnieuws.net/top-five-ai-powered-blockchain-projects-to-watch-techeconomy-ng/ If you follow trends in the computer industry, you know that blockchain technology and artificial intelligence (IA) are getting closer and closer. AI has wide applications, while blockchain is mainly related to the cryptocurrency industry. However, many companies are trying to link these technologies, in the hope that they will create more value. The Benefits […]]]>

If you follow trends in the computer industry, you know that blockchain technology and artificial intelligence (IA) are getting closer and closer.

AI has wide applications, while blockchain is mainly related to the cryptocurrency industry.

However, many companies are trying to link these technologies, in the hope that they will create more value.

The Benefits of Combining AI and Blockchain

The main benefit of using AI is its ability to process information quickly, which would allow blockchain networks to increase the amount of data these organizations can collect.

AI can provide more actionable insights while creating a trustworthy and transparent environment.

Without a doubt, automation is a benefit that AI and blockchain bring to the table. With the help of smart contracts, many processes, from payments to identity verification, could become even more streamlined.

Embedding AI models into blockchain-based smart contracts can bring additional benefits, such as recommendations and automation based on previous behavior.

Let’s take a look at five projects that successfully combine these two technologies.

1. DeepBrain Channel

DeepBrain Chain is a blockchain-powered decentralized neural network. The project team is made up of experts in artificial intelligence and blockchain from prestigious IT companies. It was founded by Da Hong Fei, the founder of the NEO cryptocurrency.

The ultimate goal of the DeepBrain Chain project is to build a secure infrastructure for AI development. Any company that needs to increase its computing power will benefit from DeepBrain Chain, and it has already found use in video rendering, cloud gaming, the biopharmaceutical industry, and various simulations.

The project initially used The NEO Blockchainbut has now managed to launch its own computing platform which uses smart contracts and uses DBC as a resource.

2. SingularityNET

SingularityNET is another complete blockchain-based AI solution. The project was founded by Dr. Ben Goertzel, the chief scientist of Hanson Robotics (the company behind Sophia, the world’s first citizen robot).

The SingularityNET project aims to create a decentralized marketplace for AI services. With its token, called AGI, the team behind it plans to create an environment where artificial intelligence services can be bought and sold without trust, i.e. without worrying about your data being compromised. transaction.

SingulartyNET’s marketplace aims to become a go-to for helping businesses and developers manage AI projects while enabling them to sell services, algorithms, and data. Moreover, it is also supposed to unify researchers and businesses on one platform. This will facilitate cooperation and further accelerate the progress of AI technology.

3.IOTA

IOTA is a platform that uses a unique data structure called Tangle. The project was founded by David Sønstebø, Sergey Ivancheglo, Dominik Schiener and Serguei Popov.

IOTA is designed to be the “backbone” of the Internet of Things (IoT). They plan to offer scalable and sensationless transactions with their unique data structure. The IOTA project is also working on a decentralized marketplace called Data Marketplace.

It might be interesting to see how IOTA plans to implement its technology in several industries. The technology is intended to find applications in the automotive sector, global commerce, healthcare and smart cities. The project already has resources allowing developers to innovate and participate in a sustainable environment. It remains to be seen how far it will go with these noble ideas.

4. NeuroChain

NeuroChain is a blockchain-based platform that uses AI to improve transaction efficiency. The project was founded by Billal Chouli and Frédéric Goujon.

The NeuroChain platform uses a unique AI-based consensus algorithm, which aims to enable more efficient transactions. The NeuroChain project is also working on a decentralized application platform powered by its own token, called NCC.

The network uses more durable consensus mechanisms than resource-intensive proof-of-work. This use of alternative methods such as proof of involvement and integrity and proof of workflow is an attempt to change the cryptocurrency market, much like the use of bots and machine learning.

5. AI Thinking

Thought AI is a blockchain-based platform that uses AI to build predictive models.

Thought AI plans to offer a decentralized marketplace for predictive models. With their own token, called THT, they aim to change the way data is transferred – in what the company calls a “Nuance”, data is now supposed to flow freely through a blockchain-powered network. Its success, however, is still uncertain.

The future of blockchain and AI

AI is almost certainly the future, as it is already an integral part of our present. It is used in various industries, from healthcare to finance, and the incorporation of blockchain technology is an attempt to take AI to the next level.

The main advantage of blockchain is its decentralized nature. This allows data to be stored and shared securely without the need for a central authority. For AI, this could mean improved data security and privacy and greater transparency in decision-making.

The potential for blockchain and AI working together could be huge, but no one knows if we can expect to see more projects successfully combining these two technologies.

Daniel Korolija can be reached via [email protected]

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More than two-thirds of UAE workers believe AI and data science will impact their role over the next five years https://ictnieuws.net/more-than-two-thirds-of-uae-workers-believe-ai-and-data-science-will-impact-their-role-over-the-next-five-years/ Mon, 16 May 2022 08:48:33 +0000 https://ictnieuws.net/more-than-two-thirds-of-uae-workers-believe-ai-and-data-science-will-impact-their-role-over-the-next-five-years/ As companies continue to implement new technologies, workers are increasingly concerned about the impact on their jobs. A new YouGov study, commissioned by Dataiku, delves into this question, providing insight into UAE workers, data and AI. The United Arab Emirates (UAE) leads the EMEA in harnessing data, data science and artificial intelligence (AI) for decision-making […]]]>

As companies continue to implement new technologies, workers are increasingly concerned about the impact on their jobs. A new YouGov study, commissioned by Dataiku, delves into this question, providing insight into UAE workers, data and AI.

The United Arab Emirates (UAE) leads the EMEA in harnessing data, data science and artificial intelligence (AI) for decision-making and business growth, according to a report commissioned by Dataiku, the platform for everyday AI.

The survey was conducted by YouGov in early 2022 and involved 2,487 decision makers from across France, the UK, the Netherlands, Germany and the United Arab Emirates. It revealed that respondents in the United Arab Emirates were the most convinced of the usefulness of workplace data, with 84% considering it essential, compared to an average of 69% for the EMEA region.

The UAE has long been recognized as a world leader in artificial intelligence, having been the first country to appoint a Minister of State for AI. Additionally, the Dubai International Financial Center (DIFC), together with the UAE Artificial Intelligence Bureau, announced the launch of a special license for companies that focus on AI. In support of the country’s 2031 artificial intelligence strategy, the license rewards companies for their efforts by granting golden visas to certain employees.

The report commissioned by YouGov’s Dataiku reveals that 71% of UAE respondents have used more data over the past five years, a figure that is again significantly above the EMEA average of just over half (55%). Some 71% of UAE respondents believe they will use even more data over the next five years, compared to an EMEA average of 52%.

The survey also showed a marked awareness among UAE respondents of the role that AI can play in the coming years in their own work and within their organizations and industry. More than half of respondents in the UAE (66%) believe that AI and data science will impact their role over the next five years, and an almost equal number (65%) expect to AI and data science will impact their business and 67% expect AI and data science to impact their industry in the next five years.

“The findings of our report clearly establish that the UAE is very much aware of the power of data and AI,” said Sid Bhatia, Regional Vice President and General Manager for Middle East and Turkey, Dataiku . “We believe this is a direct consequence of the government’s forward-looking stance on these technologies. We see this in its Artificial Intelligence Strategy 2031; we see it in the Federal Government becoming the first to appoint a Minister of State for AI and we see it in the DIFC’s decision to issue special AI licenses. Our findings also highlight the widespread recognition that enterprise AI is an organizational asset that will define the business of the future and the industries of the future.

However, Bhatia also highlighted the perception gap between managers and non-managers in the UAE regarding the usefulness of data and the role of AI. While 71% of managers in the UAE say their use of data in their daily work has increased over the past five years and 73% believe their use of data will increase over the next five years, only 44% of non-managers say they have used more data. over the past five years and just a third expect to consume more over the next five years. Two-thirds (67%) of people in leadership roles think AI and data science will impact their role, but less than half (44%) of non-managers think the same.

“There is clearly a need to democratize the use of AI if it is to be widely accepted as a tool for prosperity,” Bhatia added. “It’s only when everyone in an organization sees AI as a partner in change that they come together and collaborate. Then, stakeholders can provide the culture needed to build a digital business. Through this culture shift, Everyday AI was born, where organizations can truly capitalize on data science to gain the kind of insights that lead to innovation.

An everyday AI culture is one where leveraging data becomes routine through a combination of skills development, governance, and technology provisioning. Under such conditions, execution becomes faster by including more people in the analysis process, resulting in faster identification of opportunities, faster insights, and more effective action.

“Under Everyday AI, data usage becomes almost pedestrian,” Bhatia said. “AI is so ingrained and intertwined with day-to-day operations that it simply becomes part of the business, rather than being used or developed by a central team. This is the future we see for forward-thinking business communities like the United Arab Emirates. »

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Huge opportunities for young people in AI, data, blockchain soon: Chandrasekhar https://ictnieuws.net/huge-opportunities-for-young-people-in-ai-data-blockchain-soon-chandrasekhar/ Sat, 14 May 2022 13:51:39 +0000 https://ictnieuws.net/huge-opportunities-for-young-people-in-ai-data-blockchain-soon-chandrasekhar/ Minister of Skills Development and Entrepreneurship, Ministry of Electronics and Information Technology Rajeev Chandrasekhar said on Saturday that the next 25 years will be the years of India’s youth and that our economic progress, expansion and our innovation leadership will be driven by youth. . The Minister said: “After the National Education Policy 2022, the […]]]>

Minister of Skills Development and Entrepreneurship, Ministry of Electronics and Information Technology Rajeev Chandrasekhar said on Saturday that the next 25 years will be the years of India’s youth and that our economic progress, expansion and our innovation leadership will be driven by youth. .

The Minister said: “After the National Education Policy 2022, the emphasis is now on not only acquiring knowledge in terms of science, social science, curriculum and education, but also on acquisition of skills and competences; vocational training and skills are integrated into the school curriculum. And it will help us succeed in our mission to elevate our youth on the world stage.”

The minister was speaking at the sixth edition of the Manav Rachna Excellence Awards (MREA) 2022 in Faridabad. He added that in 2014 an agreement was signed to manufacture electronics in India, now 6 lakh crore of electronics are manufactured here.

India currently exports $10 billion worth of electronics. In the next four years, India will export around $120 billion worth of electronics and $400 billion worth of electronic items will be manufactured in India, making India a technology-driven country in the next 25 years . He added, “Despite the Covid pandemic, our country is one of the fastest growing economies in the world, and even during peak Covid times, we delivered around 200 crore of vaccines to foreign countries. and empowered India (Atmanirbhar Bharat) in the difficult time when the world was preparing for the worst pandemic.

Meanwhile, India has also received the highest foreign direct investment in the world. As we all celebrate 75 years of independence (Azadi ka Amrit Mahotsav), in the next 25 years it will be the country of youth that will lead the economy of India, as Prime Minister Narendra Modi’s dream is to to make Indian youth self-reliant, future entrepreneurs.

The Minister also pointed out that in 2000 he asked P Chidambaram then Finance Minister in Parliament why 97% of the country’s banking system was borrowed by only nine families in India. Today, around 100 semiconductors and 36,000 startups are not created by families like Tata, Birla or anyone with a political background.

It is started by young entrepreneurs in India. So, in the next 25 years, India’s population will be technology-based. The minister said, “In the coming years, there will be huge opportunities for young Indians in the field of technology, artificial intelligence, data-based learning, blockchain, etc. . As the world wants to pursue the next generation, India will play a crucial role in realizing the dream of the young people. The government’s aim is to sign a priority, to shape the future of Indian youth in modern India.

He also informed that Prime Minister Narendra Modi’s dream is to have an integrated approach in the education sector, so he promotes the local language in schooling so that students do not face any obstacles to obtain education in the country. primary level.MREA 2022 were awarded across 12 pillars and achievers for their outstanding and innovative vision by the Minister in the presence of MREI Chairman Prashant Bhalla and other industry dignitaries and veterans.

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Police and Cyber ​​Security Agency warn of ransomware as Windows OS update https://ictnieuws.net/police-and-cyber-security-agency-warn-of-ransomware-as-windows-os-update/ Sat, 14 May 2022 10:12:02 +0000 https://ictnieuws.net/police-and-cyber-security-agency-warn-of-ransomware-as-windows-os-update/ SINGAPORE – Police and the Singapore Cyber ​​Security Agency (CSA) have jointly warned of a ransomware variant that masquerades as an update to the Windows operating system. The fake update locks victims’ data and then demands a ransom from those who inadvertently download it. Called Magniber, it gives attackers access to victims’ personal data, such […]]]>

SINGAPORE – Police and the Singapore Cyber ​​Security Agency (CSA) have jointly warned of a ransomware variant that masquerades as an update to the Windows operating system.

The fake update locks victims’ data and then demands a ransom from those who inadvertently download it.

Called Magniber, it gives attackers access to victims’ personal data, such as details of their bank accounts and social media accounts, which attackers can then use to steal money or impersonate them. victims.

Downloading it via fake Windows OS update link, pop-up advertisement or email file from unknown sender leads to the display of a ransom note.

Attackers demand payment in the form of cryptocurrencies such as Bitcoin if victims want to regain access to their data.

Attackers can also access photos and videos stored in victims’ devices, which can in turn be exploited to scam or extort money from victims.

In the most egregious cases, attackers could even remotely take control of their victims’ devices.

Police and CSA said members of the public should be wary of ransomware and ensure their mobile phones, computers and other devices are regularly updated with the latest operating system versions from official and verified sources. .

Users should install anti-virus applications that can detect and remove malware, and regularly back up their data to a separate, offline system that remains accessible even during a ransomware attack.

They should also avoid clicking on pop-up ads or opening files from unknown senders.

Police and CSA said they do not recommend paying the ransom as it does not guarantee that the data will be decrypted as promised and will also encourage attackers to continue their criminal activities.

Victims should file a police report immediately and can visit this website to check if there are any decryptors readily available as a possible solution.

The Magniber ransomware variant first started on Internet Explorer, before spreading through other internet browsers such as Microsoft Edge and Chrome late last year and this year.

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Bridging DevOps, Data Science, and Business Outcomes in a Software-Defined World https://ictnieuws.net/bridging-devops-data-science-and-business-outcomes-in-a-software-defined-world/ Fri, 13 May 2022 21:19:34 +0000 https://ictnieuws.net/bridging-devops-data-science-and-business-outcomes-in-a-software-defined-world/ While the general advancement of enterprise software is often thought of as the marriage of software development and data stacks, a third consideration is critical to fostering tangible advancement. “You have to think not only about the software developer or the data scientist, but there’s also a line of business in there that says, ‘These […]]]>

While the general advancement of enterprise software is often thought of as the marriage of software development and data stacks, a third consideration is critical to fostering tangible advancement.

“You have to think not only about the software developer or the data scientist, but there’s also a line of business in there that says,These are the business outcomes I’m looking for,” said Chris Wright (pictured), senior vice president and chief technology officer of Red Hat Inc.It’s this trifecta that must come together to make progress and really make changes in the business.

Wright spoke with theCUBE industry analysts Dave Vellante and Paul Gillin during the Red Hat Summit Event, an exclusive show on theCUBE, SiliconANGLE Media’s live streaming studio. They discussed emerging enterprise technologies and how to realize the full potential of technology. (*Disclosure below.)

Software, especially open source, “eats the world”

It’s no news that software is inalienable in our current economic landscape. But from DevOps to AIOps, several technical challenges occasionally resurface.

“It’s the whole workflow and platform how you share data, data training models and deployment models in a runtime production environment,” Wright explained.It looks like software development processes, but it is slightly different. So this is where a common platform can help fill the gaps between the world of developers and the world of data science.

Red Hat is doing its part to address these issues with offerings such as aggregators, distribution tools, and providing flexibility to its developer user base. And there are also data governance challenges, mostly related to machine learning and artificial intelligence bias. Red Hat helps solve the technical aspects of this problem, according to Wright.

“There are a lot of open questions out there and academic research to try to understand how you can unearth biased data and make it less biased or unbiased. Our role is simply to bring together the set of tools so that you have the ability to do that as a business,” he concluded.

Here’s the full video interview, some of SiliconANGLE and theCUBE’s coverage of the Red Hat Summit Event:

(*Disclosure: TheCUBE is a paid media partner of Red Hat Summit. Neither Red Hat Inc., the sponsor of theCUBE event coverage, nor other sponsors have editorial control over the content of theCUBE or SiliconANGLE. )

Photo: SiliconANGLE

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Impact of Covid-19 on Security Services Cybersecurity Market (2022-2028) | Growth potential, attractive valuation make it a long-term investment https://ictnieuws.net/impact-of-covid-19-on-security-services-cybersecurity-market-2022-2028-growth-potential-attractive-valuation-make-it-a-long-term-investment/ Fri, 13 May 2022 12:28:51 +0000 https://ictnieuws.net/impact-of-covid-19-on-security-services-cybersecurity-market-2022-2028-growth-potential-attractive-valuation-make-it-a-long-term-investment/ This comprehensive research report is a thoughtful compilation of Security Services Cybersecurity Market development and growth factors optimizing the path for continued growth in terms of accurate product data, strategies and market shares of leading companies in that particular market. We follow an iterative model of research methodology to formulate the report that helps decision […]]]>

This comprehensive research report is a thoughtful compilation of Security Services Cybersecurity Market development and growth factors optimizing the path for continued growth in terms of accurate product data, strategies and market shares of leading companies in that particular market. We follow an iterative model of research methodology to formulate the report that helps decision makers make an informed investment assessment. Desk research is conducted using internal and external sources to obtain qualitative and quantitative market insights backed by primary research.

Enormous data and knowledge about the Security Services Cyber ​​Security Market report has been gathered from various reliable sources such as journals, websites, white papers, corporate annual reports and mergers. This market research report can be a great solution to help you make better decisions, earn maximum income and improve your business profits. This market research report offers a systematic idea of ​​the current scenario of the global market. Recent developments, product launches, joint ventures, capacities, production values, mergers and acquisitions have supported various market dynamics. The comprehensive Security Services Cyber ​​Security Market research report not only offers the opportunity to outlast the competition but also to outshine the competition.

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Covid19 coverage:

The report contains the analysis of the impact of the COVID-19 pandemic on the revenue of market leaders, followers, as well as disruptors. Since the lockdown has been applied differently in different regions and countries, its impact is also different in different regions and segments. The report has covered the current short and long term impact on the market, it will also help decision makers to prepare the outline of short and long term strategies for businesses by region.

Covid-19 coverage includes the following:

  • Impact of the Covid-19 epidemic on the global economy.
  • Comprehensive overview of the Covid-19 pandemic on business progress.

The research report included the profiles of the top sellers of the company’s competitors, their data, revenue, revenue share, business volume, and buyer volume. This statistical survey report has also examined the factors influencing the major industry players in the adoption of the Synthetic Supply Products market. The findings contained in this report are of great value to major industry players. This report has mentioned all the organizations involved in the worldwide production of the Security Services Cybersecurity Market products to study the information related to low-cost manufacturing methods, competitive conditions, and new usages. The report is based on market performance monitoring and is one of the most detailed reports

Scope of Security Services Cybersecurity Market Report

ATTRIBUTES DETAILS
FORECAST YEAR 2022-2028
YEAR OF REFERENCE 2021
SEGMENTS Types, applications, end users, and more.
BY TYPE Consulting Services, Implementation Services, Operational Service, Education and Training
ON DEMAND Government, Education, Business, Financial, Medical, Other
COMPANIES COVERED FireEye, Herjavec Group, Forcepoint, EY, Mimecast, FireEye, Lockheed Martin, Sophos, Symantec, Sera-Brynn, Clearwater Compliance, IBM Security, Cisco, Raytheon Cyber, BAE Systems, Digital Defense, Rapid7, Thycotic, DFLabs, CyberArk
CUSTOMIZATION SCOPE Free report customization (equivalent to up to 4 analyst business days) with purchase. Added or modified the scope of the national and regional segment.

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Regional analysis:

The Global Security Services Cybersecurity Services Market report provides in-depth assessment of growth and other aspects in important regions, such as US, Canada, UK, Germany, France, China, Japan, India, Mexico, Brazil and GCC countries. , and South Africa, etc. The major regions covered in the report are North America, Europe, Asia-Pacific, Latin America, Middle East and Africa. The report provides a detailed assessment of the development and other aspects of the global Security Services Cybersecurity Market in important countries (regions), including:

  • North America (USA, Canada)
  • Europe (UK, Germany, France and Rest of EU)
  • Asia-Pacific (China, Japan, India, rest of APAC)
  • Latin America (Mexico, Brazil and rest of LA)
  • Middle East and Africa (GCC Countries, South Africa and Rest of MEA)

Report Target Customers:

  • Investors and private equity firms
  • Cybersecurity from security service providers
  • Suppliers as distributors
  • Government and regulatory bodies
  • end users

Read the report summary @ https://roweltoassociates.com/report/8237/cyber-security-of-security-services-market

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Nokia opens 5G security test lab dedicated to cybersecurity https://ictnieuws.net/nokia-opens-5g-security-test-lab-dedicated-to-cybersecurity/ Fri, 13 May 2022 02:38:44 +0000 https://ictnieuws.net/nokia-opens-5g-security-test-lab-dedicated-to-cybersecurity/ Finnish telecommunications equipment provider Nokia is launching its advanced security research and testing lab in Dallas, Texas, describing it as the first end-to-end cybersecurity-focused 5G test lab. The lab will go beyond looking at individual network elements and focus on the broader context of network use and abuse scenarios, Nokia says. Nokia provides context: 5G […]]]>

Finnish telecommunications equipment provider Nokia is launching its advanced security research and testing lab in Dallas, Texas, describing it as the first end-to-end cybersecurity-focused 5G test lab.

The lab will go beyond looking at individual network elements and focus on the broader context of network use and abuse scenarios, Nokia says.

Nokia provides context: 5G continues to see the nature and scale of information networks evolve as well as the scale of security threats.

However, this scale has left vulnerabilities, with Nokia warning that there are now more avenues of attack open to hackers, state actors and corporate espionage due to interworking terminals, use intensive use of open source software and the large-scale use of 5G.




As a central lab dedicated solely to security forensics and research, the Advanced Security Testing and Research (ASTaR) lab will use and develop tools and techniques to assess the security resilience of 5G networks, as well as their associated software, hardware and applications.

ASTaR will assess results to address emerging security threats. Lab researchers will work with the cybersecurity community to identify emerging threat vectors and potential vulnerabilities.

“5G will enable countless new services for consumers, government and businesses, and industry must be extremely vigilant to ensure the security of these 5G ecosystems. To demonstrate our leadership and commitment to security, Nokia will be the first to inaugurate a lab in the United States with the unique mission of identifying and preventing cybersecurity attacks. The AStar lab will be an ideal testing ground to assess security in the broader context of network use and abuse scenarios,” said Nishant Batra, Chief Strategy and Technology Officer, Nokia.

Nokia says the lab will share its cybersecurity knowledge with its business and government customers.

Nokia will partner with its customers to consider network attack scenarios and observe how security measures will perform against real security incursions.

The AStar lab will be staffed by US-based cybersecurity specialists and is located on the Nokia campus in Dallas.

AStar will leverage the security research capabilities of Nokia Bell Labs.

Nokia’s Dallas office also includes the Executive Experience Center, Energy Innovation Center, O-RAN Collaboration and Testing Center, Cloud Collaboration Hub, and Nokia Services Lab.

This first appeared in the CommsWire subscription newsletter on May 10, 2022.

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Blockchain + AI in finance: how opposites attract https://ictnieuws.net/blockchain-ai-in-finance-how-opposites-attract/ Wed, 11 May 2022 14:03:45 +0000 https://ictnieuws.net/blockchain-ai-in-finance-how-opposites-attract/ Blockchain and artificial intelligence (AI) may seem like something out of a sci-fi movie, but they are actually transforming the financial services industry before our eyes. But what exactly are blockchain and AI? When we think of blockchain, many of us think of cryptocurrencies like Bitcoin and Ethereum, but that’s like saying the internet is […]]]>

Blockchain and artificial intelligence (AI) may seem like something out of a sci-fi movie, but they are actually transforming the financial services industry before our eyes. But what exactly are blockchain and AI?

When we think of blockchain, many of us think of cryptocurrencies like Bitcoin and Ethereum, but that’s like saying the internet is a search engine. Reduced to its core, the blockchain is a digital record of transactions. Blockchain technology decentralizes data storage so that data is not owned or managed by a single governing body.

When we think of artificial intelligence, we might imagine the Terminator movies and intelligent robots with human behaviors. In practice, AI uses computer systems to perform tasks that usually require human intelligence, such as making predictions. Machine learning is a subset of AI that uses computational and statistical techniques that allow computer systems to use data to “learn” how to perform a task.

Change finance

AI and blockchain are changing the landscape of the financial industry. AI can process data exponentially faster than humans. It enables financial institutions to mine large amounts of data to extract more insights, automate repetitive tasks, and accelerate innovation.

Blockchain is also disrupting the financial industry with more transparency and access to financial markets through decentralized finance (DeFi) and smart contracts. The more Decentralized Autonomous Organizations (DAOs) are launched, the more we will be forced to rethink existing centralized financial systems.

Combine forces

What do blockchain and AI have in common? Not much, actually. They are both at the forefront of current trends in innovation and technology and have many use cases, but otherwise blockchain and AI act in entirely different ways. Blockchain acts as secure storage and is decentralized, tamper-proof and transparent. AI, on the other hand, processes huge amounts of data and is generally centralized, scalable and opaque.

While blockchain struggles with scalability and efficiency, AI struggles with transparency and privacy, which makes the two technologies a perfect match, as each can address the weaknesses of the other. Blockchain provides trust, privacy, and accountability to AI, while AI provides scalability, efficiency, and security.

Use case

Establish trust

One of the difficulties that AI faces is accountability, which brings out distrust of AI results. The European Commission has proposed a set of regulations where reliability is at the heart, and to trust AI we need to be able to explain how AI algorithms work so that humans understand it and have confidence in it. the accuracy of AI outputs and results.

Blockchain’s immutable digital records can be a way to offer insight into the AI ​​framework and model for addressing the challenge of data transparency and integrity.

Blockchain’s immutable digital records can be a way to offer insight into the AI ​​framework and model for addressing the challenge of data transparency and integrity. Using blockchain can also improve data security and integrity by storing and distributing AI with an audit trail built into the blockchain. Having this audit trail ensures that the data used to train the models as well as the models themselves retain their integrity.

Another example of building trust in AI using blockchain goes back to the foundations of blockchain. AI technology is usually centralized, which leads to user distrust. Many people today don’t trust what government and big business do with their data. The challenge is to be able to provide assurance to users that the technology has not overstepped the mark and violated privacy.

Enter blockchain: a decentralized data storage that can act as an audit trail and provide that trust to users to show them exactly how companies and other centralized organizations are using their data. Additionally, blockchain ledgers can be used as a digital data rights management system so that individuals can own their data and provide the terms and conditions under which businesses and organizations are allowed to use their data.

Automation and efficiency

Automation is not a new concept for AI, but combining AI and blockchain can enable synergies in both scale and efficiency. Blockchain technology can eliminate unnecessary third parties from multi-party transactions, ultimately accelerating transaction speed and increasing transaction efficiency. Reducing friction between these transactions allows individuals to own their data, and blockchain ensures the security of the transaction process.

The combination of AI and blockchain can enable synergies in both scale and efficiency.

For example, blockchain technology allows us to create decentralized exchanges where the exchange of assets does not need to depend on a central authority or third party to approve the exchange. All transactions are recorded on the blockchain and exchanges are written directly to the blockchain. This type of order book eliminates the need for a central authority due to its open source nature and transaction transparency that anyone can audit.

AI can provide scale and automate transaction valuation processes. With the exponential increase in the amount of data, processing and consuming data without the help of AI will become impossible.

Fraud detection

When the blockchain is involved, the secure transaction cannot be tampered with and ensures that every transaction written complies with the rules predefined by the blockchain (either programmed into the platform or added as smart contracts). Blockchain security can help reduce the possibility of fraudulent transactions and improve fraud detection. AI overlay on top of transactions can detect anomalies in the blockchain at scale. Fraud detection involves sifting through huge amounts of data looking for unusual patterns.

AI overlay on top of transactions can detect anomalies in the blockchain at scale.

For example, if a client has an account that invests the same amount in an ETF every month, and suddenly one month the amount the client is investing is 10 times the normal amount, that transaction would be classified as suspicious and potentially fraudulent. This would trigger banking fraud detection algorithms. AI and blockchain technology can be combined to detect suspicious transactions and activities and stop them at the source.

Smart Contracts: The Fall and Rise of the DAO

The first DAO was launched in 2016 as an investor-led venture capital fund. It was launched after a crowdfunding campaign via a token sale and quickly became one of the biggest crowdfunding campaigns in history. The goal was to provide a new decentralized business model based on the Ethereum blockchain with open source code. Financial transactions and DAO rules would be encoded on a blockchain to remove the need for a central governing authority, which in theory should reduce costs and provide more control and access for investors.

The first DAO ultimately failed because hackers exploited a security flaw in the code that transferred one-third of the Ether into a separate account under the DAO smart contract. Smart contracts are programs stored on the blockchain and executed when pre-determined conditions are met, typically used to execute an agreement without the need for an intermediary.

The problem with DAO was its inability to react quickly to unforeseen circumstances. In addition to this, the United States Securities and Exchange Commission (SEC) has ruled that the tokens offered by the DAO are securities and subject to federal securities law. This meant that the DAO was subject to the same regulations as all other centrally governed organizations.

Today, billions of dollars are in smart contracts across the Ethereum ecosystem (the first three projects alone hold more than $26 billion). The failure of the first DAO paved the way for improvements in smart contract design and security and a healthier ecosystem. Now, smart contracts can be edited and voted on by the community/DAO, and smart contracts have emerged as one of the most effective and efficient data management solutions. Adding AI to this can help overcome data management challenges, including automation. For example, AI models could be embedded in smart contracts running on a blockchain, and the AI ​​model could make recommendations based on contract data, be it an expiration date , payments or even finding the most efficient shipping routes.

What does this mean for FinTech?

FinTech as we know it today is highly specialized and centralized. Blockchain and AI can be enablers for FinTech 2.0 by focusing on holistic solutions with increased transaction speeds, transparency and security. Additionally, DeFi can mean a larger pool of investors as more people gain access to financial markets. The more investors there are, the more data there will be that would be impossible to process without AI. Blockchain provides the basis for smart contracts to improve transparency and data management, while AI can be harnessed to scale processes, speed up transactions and extract insights from large volumes of data. AI and blockchain may not completely reshape the financial industry as we know it, but they will most certainly change the way we interact with financial data.

This blog post is for informational purposes only. The information in this blog post does not constitute legal, tax or investment advice. FactSet does not endorse or recommend any investment and assumes no responsibility for any consequences related directly or indirectly to any action or inaction taken based on the information in this article.

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