2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)(2016)
Univ Maryland Baltimore Cty
被引用159|浏览85
摘要
In order to secure vital personal and organizational system we require timely intelligence on cybersecurity threats and vulnerabilities. Intelligence about these threats is generally available in both overt and covert sources like the National Vulnerability Database, CERT alerts, blog posts, social media, and dark web resources. Intelligence updates about cybersecurity can be viewed as temporal events that a security analyst must keep up with so as to secure a computer system. We describe CyberTwitter, a system to discover and analyze cybersecurity intelligence on Twitter and serve as a OSINT (Open-source intelligence) source. We analyze real time information updates, in form of tweets, to extract intelligence about various possible threats. We use the Semantic Web RDF to represent the intelligence gathered and SWRL rules to reason over extracted intelligence to issue alerts for security analysts.
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关键词
CyberTwitter,cybersecurity threats,cybersecurity vulnerabilities,national vulnerability database,CERT alerts,blog posts,social media,dark Web resources,cybersecurity intelligence,open-source intelligence,OSINT source,semantic Web RDF,SWRL rules,security analysts