Using Twitter to spot critical security flaws

TDAI affiliate Alan Ritter and his collaborators are featured in Wired magazine for research they will present at the June meeting of the North American Chapter of the Association for Computation Linguistics.

Alan RitterThe topic: Using Twitter as a 24/7 source of vulnerability information that can tell systems administrators what bugs they need to patch. The researchers are building a piece of free software that automatically tracks Twitter’s stream of bug data to pull out hackable software flaws and rate their severity.

According to Wired, “They found that Twitter can not only predict the majority of security flaws that will show up days later on the National Vulnerability Database—the official register of security vulnerabilities tracked by the National Institute of Standards and Technology—but that they could also use natural language processing to roughly predict which of those vulnerabilities will be given a “high” or “critical” severity rating with better than 80 percent accuracy.”

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