New System Uses Machine Learning to Scan Tweets for Security Flaws

New System Uses Machine Learning to Scan Tweets for Security Flaws

Machine learning and Twitter could be the future of catching security flaws and vulnerabilities early.

The future of security flaws and vulnerabilities could come down to the popular social media website, once known for telling your friends what you are having for lunch. Researchers are hoping to tap into the community of Twitter users who tweet about security vulnerabilities 24/7 by building a piece of free software that automatically tracks tweets to pull out hackable software flaws and rate their severity.

Researchers at Ohio State University, the security company FireEye, and research firm Leidos published a paper describing the new system that reads millions of tweets for mentions of software security vulnerabilities, and then, using their machine-learning-trained-algorithm, assesses the threat level they represent based on how they've been described.

The researchers found that Twitter can not only predict the majority of security flaws that will show up days later on the National Vulnerability Database, but that they could also use natural language processing to roughly predict which off those vulnerabilities will be give "high" or "critical" severity rating with better than 80 percent accuracy.

"We think of it almost like Twitter trending topics," says Alan Ritter, an Ohio State professor who worked on the research and will be presenting it at the North American Chapter of the Association for Computational Linguistics in June. "These are trending vulnerabilities."

Ohio State's Ritter cautions that despite promising results, their automated tool probably shouldn't be used as anyone's sole source of vulnerability data—and that at the very least, a human should click through to the underlying tweet and its linked information to confirm its findings. "It still requires people to be in the loop," he says. He suggests that it might be best used, in fact, as a component in a broader feed of vulnerability data curated by a human being.

Given the accelerating pace of vulnerability discovery and the growing sea of social media chatter about them, Ritter suggests it might be an increasingly important tool to find the signal in the noise.

"Security has gotten to the point where there's too much information out there," he says. "This is about creating algorithms that help you sort through it all to find what’s actually important."

About the Author

Sydny Shepard is the Executive Editor of Campus Security & Life Safety.

Featured

  • Cybersecurity Awareness Month: Top Five Action Items to Elevate Your Data Security Posture Management and Secure Your Data

    October is Cybersecurity Awareness Month, and every year most tips for security hygiene and staying safe have not changed. We’ve seen them all – use strong passwords, deploy multi-factor authentication (MFA), be vigilant to spot phishing attacks, regularly update software and patch your systems. These are great recommended ongoing tips and are as relevant today as they’ve ever been. But times have changed and these best practices can no longer be the bare minimum. Read Now

  • Boosting Safety and Efficiency

    Boosting Safety and Efficiency

    In alignment with the state of Mississippi’s mission of “Empowering Mississippi citizens to stay connected and engaged with their government,” Salient's CompleteView VMS is being installed throughout more than 150 state boards, commissions and agencies in order to ensure safety for thousands of constituents who access state services daily. Read Now

  • Live From GSX: Post-Show Review

    Live From GSX: Post-Show Review

    This year’s Live From GSX program was a rousing success! Again, we’d like to thank our partners, and IPVideo, for working with us and letting us broadcast their solutions to the industry. You can follow our Live From GSX 2023 page to keep up with post-show developments and announcements. And if you’re interested in working with us in 2024, please don’t hesitate to ask about our Live From programs for ISC West in March or next year’s GSX. Read Now

    • Industry Events
    • GSX
  • People Say the Funniest Things

    People Say the Funniest Things

    By all accounts, GSX version 2023 was completely successful. Apparently, there were plenty of mix-ups with the airlines and getting aircraft from the East Coast into Big D. I am all ears when I am in a gathering of people. You never know when a nugget of information might flip out. Read Now

    • Industry Events
    • GSX

Featured Cybersecurity

New Products

  • XS4 Original+

    XS4 Original+

    The SALTO XS4 Original+ design is based on the same proven housing and mechanical mechanisms of the XS4 Original. The XS4 Original+, however, is embedded with SALTO’s BLUEnet real-time functionality and SVN-Flex capability that enables SALTO stand-alone smart XS4 Original+ locks to update user credentials directly at the door. Compatible with the array of SALTO platform solutions including SALTO Space data-on-card, SALTO KS Keys as a Service cloud-based access solution, and SALTO’s JustIn Mobile technology for digital keys. The XS4 Original+ also includes RFID Mifare DESFire, Bluetooth LE and NFC technology functionality. 3

  • ComNet CNGE6FX2TX4PoE

    The ComNet cost-efficient CNGE6FX2TX4PoE is a six-port switch that offers four Gbps TX ports that support the IEEE802.3at standard and provide up to 30 watts of PoE to PDs. It also has a dedicated FX/TX combination port as well as a single FX SFP to act as an additional port or an uplink port, giving the user additional options in managing network traffic. The CNGE6FX2TX4PoE is designed for use in unconditioned environments and typically used in perimeter surveillance. 3

  • A8V MIND

    A8V MIND

    Hexagon’s Geosystems presents a portable version of its Accur8vision detection system. A rugged all-in-one solution, the A8V MIND (Mobile Intrusion Detection) is designed to provide flexible protection of critical outdoor infrastructure and objects. Hexagon’s Accur8vision is a volumetric detection system that employs LiDAR technology to safeguard entire areas. Whenever it detects movement in a specified zone, it automatically differentiates a threat from a nonthreat, and immediately notifies security staff if necessary. Person detection is carried out within a radius of 80 meters from this device. Connected remotely via a portable computer device, it enables remote surveillance and does not depend on security staff patrolling the area. 3