Information Oak Ridge Cyber Security Technology Hyperion Offers More Powerful Malware Detection Published 4 years ago on January 21, 2015 By Giulio Prisco R&K Cyber Solutions has licensed Hyperion, a cyber security technology from the Department of Energy’s Oak Ridge National Laboratory (ORNL), which can detect malware by looking inside an executable program to determine the software’s behavior without using its source code or running the program. The Hyperion technology, which has been under development for a decade, offers more comprehensive scanning capabilities than existing cyber security methods. Also read: Regin Malware, Commonly Associated With NSA, Found on German Government Laptop Computer programs are mathematical artifacts, subject to mathematical analysis. The Hyperion system is based on function extraction (FX) algorithms, first developed by IBM and Carnegie Mellon University and then refined using the high performance computing facility at ORNL, program structuring, behavior computation, and stepwise computation. Uncovering Malicious Content Before Execution Hyperion developer Stacy Prowell of ORNL’s Cyber Warfare Research team said: These behaviors can be automatically checked for known malicious operations as well as domain-specific problems. This technology helps detect vulnerabilities and can uncover malicious content before it has a chance to execute. This approach is better than signature detection, which only searches for patterns of bytes. It’s easy for somebody to hide that – they can break it up and scatter it about the program so it won’t match any signature. ORNL developed the Hyperion system to compute the behavior of software as a means to gain understanding of software functionality and security properties. Computation of functionality is critical to revealing security attributes, which are, in fact, specialized functional behaviors of software. ORNL collaborated with MITRE Corporation on a demonstration project to compute the behavior of legacy IBM Assembly code for a federal agency. The ultimate goal is to understand functionality and security vulnerabilities for code modernization. The paper “Computing legacy software behavior to understand functionality and security properties: an IBM/370 demonstration” reports on the first phase, to define functional semantics for IBM instructions and conduct behavior computation experiments. An open access presentation by Rick Linger of ORNL Cyber Security and Information Intelligence Research Group, titled “The Hyperion System: Computing Software Behavior with Function Extraction Technology,” provides in-depth information about the Hyperion system. The presentation includes examples of behavior computation for computer viruses and embedded systems. The last slide states the long-term vision of the project: Computed behavior available for all common software and behavior computation available for one-off software. Hyperion further strengthens the cyber security of critical energy infrastructure by providing evidence of the secure functioning of energy delivery control system devices without requiring disclosure of the source code. This advances the vision of resilient energy delivery systems designed, installed, operated and maintained to survive a cyber incident while sustaining critical functions, as articulated in the Department of Energy’s Road map to Achieve Energy Delivery Systems Cybersecurity. R&K Cyber Solutions specializes in information assurance services and certified security processes for the federal government and selected commercial customers. They expect to make the Hyperion technology available in January. CEO Joseph Carter said: Software behavior computation is an emerging science and technology that will have a profound effect on malware analysis and software assurance. Computed behavior based on deep functional semantics is a much-needed cyber security approach that has not been previously available. Unlike current methods, behavior computation does not look at surface structure. Rather, it looks at deeper behavioral patterns. Images from ORNL and Shutterstock. Important: Never invest (trade with) money you can't afford to comfortably lose. Always do your own research and due diligence before placing a trade. Read our Terms & Conditions here. Trade recommendations and analysis are written by our analysts which might have different opinions. Read my 6 Golden Steps to Financial Freedom here. Best regards, Jonas Borchgrevink. Rate this post: Important for improving the service. Please add a comment in the comment field below explaining what you rated and why you gave it that rate. Failed Trade Recommendations should not be rated as that is considered a failure either way. (0 votes, average: 0.00 out of 5)You need to be a registered member to rate this. Loading... Giulio Prisco Giulio Prisco is a freelance writer specialized in science, technology, business and future studies. Follow @HackedCom Feedback or Requests? Related Topics:HyperionmalwareVirus Up Next Apple Consents to Product Security Audits from Chinese Government Don't Miss Barack Obama and David Cameron’s Stance on Encryption is Morally Irresponsible You may like Crypto-Security Testnet Surpasses Key Milestones Monero Price Analysis: XMR/USD Well Supported in Attempt to Clear Stubborn 15-week Range ICO Analysis: Hyperion Computer Virus Cancels Hundreds of Scheduled Surgeries in the UK Malware Password-Stealing Virus Proves Hard to Kill on Windows XP Click to comment You must be logged in to post a comment Login Leave a Reply Cancel replyYou must be logged in to post a comment. Artificial Intelligence YEXT: An Invisible Force In Artificial Intelligence Published 8 months ago on February 24, 2018 By James Waggoner YEXT, Inc. (NYSE: YEXT) is one of those behind the scenes companies involved in Intelligence Search that plays an important role in Artificial Intelligence. What does that mean? Remember the Amazon commercial? “Eco, order a 12” Pizza with pepperoni from Stromboli’s and have it delivered”. Today the vast majority of online searches go through third-party sources such as data aggregators, governmental agencies and consumers. The net result of this third party sourcing has been to produce “best guess” data that can often miss or misstate the target data field. YEXT developed a better way to source critical digital knowledge. For example business clients use YEXT to update public facts about their brands. They are building their based on the rapid and ever changing nature of data. So far the YEXT Knowledge Network offers over 100 services to more than 110 corporate clients and has over $150 million in annual revenue. So could YEXT play a key role in AI, the next big thing? How YEXT Works Most of us are familiar with big time search engines like Google, Google Maps, Facebook, Instagram, Bing, Cortana, Apple Maps, Siri and Yelp. These pioneering companies are the major drivers in information search today. However, we also know, their accuracy is not exactly ideal. This is where YEXT steps in. Their knowledge engine platform lets business manage their digital knowledge in the cloud and sync it to over 100 services including the kingpins of search noted above. Intelligent Search is the structured information that a business wants to make publicly accessible. In food service it could be the address, phone number or menu details of a restaurant; in healthcare, the health insurances accepted by a physician or the precise drop-off point of the emergency room at a hospital campus; or in finance, the ATM locations, retail bank holiday hours or insurance agent biographies. Artificial Intelligence Offers a Potential $10 Billion Market Improving search results in general is nice but not very sexy. It doesn’t make you want to beg for more information. However, when you consider the role of Artificial Intelligence (AI) in our evermore data intense world, the importance of Intelligent Search and the opportunities for YEXT becomes a compelling story. The AI trend is already underway as YEXT is increasingly using the structured data on their platform to expand or add new integrations with vertically specialized applications, voice-based search and AI engines. Just Right For Big Data Applications YEXT customers use their platform to manage their digital knowledge covering over 17 million attributes and nearly one million locations. These customers include leading businesses in a diverse set of industries, such as healthcare and pharmaceuticals, retail, financial services, manufacturing and technology. Major customers include: AutoZone, Ben & Jerry’s, Best Buy, Citibank, Denny’s, Farmers Insurance Group, H&R Block, HCA, Infiniti, Marriott, Michael’s, McDonald’s, Rite Aid, Steward Health Care and others. The list is growing. Management believes the market for digital knowledge management is large and mostly untapped with over 100 million potential business locations and points of interest in the world equaling over $10 billion. Shooting For Acquisitions and Broad AI Penetration Founded in 2006 by serial entrepreneurs Howard Lerman (CEO) and Brian Distelburger, President these two are typical software guys whose vision appears much more broad based the their current focus with YEXT. Here is where the prospectus from their April 2017 IPO offers some mystery and excitement to the story. Unlike most rapid growth tech companies YEXT had no urgent need to go public. They generated almost $60 million in gross profit in 2016 before heavy marketing costs resulted in a loss of $26.5 million. Even so, they still ended the year with $20 million in cash. That’s a fair distance from being destitute. The company’s real need for the IPO was to establish a liquid public market for the stock. They raised about $123.5 million, all of which will go into the bank. The company is debt free and there are no insiders selling stock. Very interesting. Strong Financial Results For the latest reported nine months ended October 31, 2017 revenues grew 38% reaching $122 million. The good news is the gross profits reached a record 75% or $90 million. All of this was spent on sales and marketing to expand the business. When all the beans were counted, YEXT lost $50 million producing a $30 million negative cash flow. The balance sheet remains liquid with $120+ million in cash and securities. FYI: In spite of some top notch bankers underwriting its IPO and analysts from those same five firms covering the company, the stock has done almost nothing for investors. This $1.1 billion market cap was recently hanging out around $12 about the same as the IPO price. Featured image courtesy of Shutterstock. Important: Never invest (trade with) money you can't afford to comfortably lose. Always do your own research and due diligence before placing a trade. Read our Terms & Conditions here. Trade recommendations and analysis are written by our analysts which might have different opinions. Read my 6 Golden Steps to Financial Freedom here. Best regards, Jonas Borchgrevink. Rate this post: Important for improving the service. Please add a comment in the comment field below explaining what you rated and why you gave it that rate. Failed Trade Recommendations should not be rated as that is considered a failure either way. (2 votes, average: 4.50 out of 5)You need to be a registered member to rate this. Loading... James Waggoner 4.4 stars on average, based on 114 rated postsJames Waggoner is a veteran Wall Street analyst and hedge fund manager who has spent the past few years researching the fintech possibilities of cryptocurrencies. He has a special passion for writing about the future of crypto. Follow @HackedCom Feedback or Requests? Continue Reading Cybersecurity This Tool Lets you Scan the Dark Web for your (Stolen) Personal Data Published 2 years ago on December 9, 2016 By Francisco Memoria A recently revealed a dark web scanning service was launched in the UK. The service is called OwlDetect and is available for £3,5 a month. It allows users to scan the dark web in search for their own leaked information. This includes email addresses, credit card information and bank details. The service reportedly uses online programs and a team of trained experts to scan hundreds of thousands of dark web websites in order to look for their customers’ data. If any personal data is found, the company helps its users act in order to keep themselves safe. It was launched in an attempt to remove reliance on big companies, as users usually only know they were hacked after these companies make it public. In a few cases, however, the information is revealed a long time after users are hacked. Earlier this year, Yahoo confirmed that, at least 500 million user accounts were compromised by what they believed to be a “state-sponsored actor”. The breach reportedly occurred in 2014, so it took users two years to know they were hacked. Chairman of the National Cyber Management Centre, and member of OwlDetect’s advisory team, Professor Richard Benham said: Today the risk of having your personal information compromised is greater than ever. From messaging apps to online shopping and dating websites, we trust a huge number of companies with our details, and there are endless opportunities for those details to fall into the wrong hands. Crawling the Deep Web The deep web is, as we all know, beyond the reach of regular search engines. That may be about to change in the future, as more and more tools keep on claiming to be able to crawl it in search for specific information. According to their website, this new service has a database of stolen data. This database was created over the past 10 years, presumably with the help of their software and team. A real deep web search engine does exist, however. A few days ago, Hacked.com reported how the Department of Defense’s deep web search engine was to be enhanced by a recent acquisition. This search engine, named Memex, is reportedly able to crawl 90 to 95% of the deep web, presenting its search results in sophisticated infographics. Image from Shutterstock. Important: Never invest (trade with) money you can't afford to comfortably lose. Always do your own research and due diligence before placing a trade. Read our Terms & Conditions here. Trade recommendations and analysis are written by our analysts which might have different opinions. Read my 6 Golden Steps to Financial Freedom here. Best regards, Jonas Borchgrevink. Rate this post: Important for improving the service. Please add a comment in the comment field below explaining what you rated and why you gave it that rate. Failed Trade Recommendations should not be rated as that is considered a failure either way. (0 votes, average: 0.00 out of 5)You need to be a registered member to rate this. Loading... Francisco Memoria 4.7 stars on average, based on 4 rated postsCryptocurrency enthusiast, writing about financial freedom and the future of money Follow @HackedCom Feedback or Requests? Continue Reading Companies Facebook Looking into “Disrupting Economics” of Fake News Sites Published 2 years ago on November 22, 2016 By Justin OConnell In a Facebook post Friday night, founder of the popular social network Mark Zuckerberg took time to outline the steps the company will take to tackle its “fake news” problem, which has been a hot topic in the wake of the election. One way the social media behemoth plans on doing that is by making sure fake news sites can’t profit. Mr. Zuckerberg calls it “disrupting fake news economics.” “A lot of misinformation is driven by financially motivated spam,” he posted. “We’re looking into disrupting the economics with ads policies like the one we announced earlier this week, and better ad farm detection.” Mr. Zuckerberg underscored that Facebook takes “misinformation serious” and reinforced the company’s goal “to connect people with the stories they find most meaningful.” The social media tycoon admits “We’ve been working on this problem for a long time.” There’s more work to be done, he says. “Historically, we have relied on our community to help us understand what is fake and what is not,” he wrote in the long post. “…The problems here are complex, both technically and philosophically. We believe in giving people a voice, which means erring on the side of letting people share what they want whenever possible. We need to be careful not to discourage sharing of opinions or mistakenly restricting accurate content. We do not want to be arbiters of truth ourselves, but instead rely on our community and trusted third parties.” Mr. Zuckerberg claims the percentage of misinformation is small, then outlines what Facebook will do, including stronger detection, easy reporting by users, third party verification via fact checking organization, warnings for stories flagged as false by other users, and raising bar for articles which appear in related articles suggestions. “Some of these ideas will work well, and some will not,” he admits. “But I want you to know that we have always taken this seriously, we understand how important the issue is for our community and we are committed to getting this right.” Image from Shutterstock. Important: Never invest (trade with) money you can't afford to comfortably lose. Always do your own research and due diligence before placing a trade. Read our Terms & Conditions here. Trade recommendations and analysis are written by our analysts which might have different opinions. Read my 6 Golden Steps to Financial Freedom here. Best regards, Jonas Borchgrevink. Rate this post: Important for improving the service. Please add a comment in the comment field below explaining what you rated and why you gave it that rate. Failed Trade Recommendations should not be rated as that is considered a failure either way. (0 votes, average: 0.00 out of 5)You need to be a registered member to rate this. Loading... Justin OConnell 5 stars on average, based on 1 rated postsJustin O'Connell is the founder of financial technology focused CryptographicAsset.com. Justin organized the launch of the largest Bitcoin ATM hardware and software provider in the world at the historical Hotel del Coronado in southern California. His works appear in the U.S.'s third largest weekly, the San Diego Reader, VICE and elsewhere. Follow @HackedCom Feedback or Requests? 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