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2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) (2016)
San Francisco, CA, USA
Aug. 18, 2016 to Aug. 21, 2016
ISBN: 978-1-5090-2847-4
pp: 860-867
Sudip Mittal , University of Maryland, Baltimore County, Baltimore, MD, USA
Prajit Kumar Das , University of Maryland, Baltimore County, Baltimore, MD, USA
Varish Mulwad , GE Global Research
Anupam Joshi , University of Maryland, Baltimore County, Baltimore, MD, USA
Tim Finin , University of Maryland, Baltimore County, Baltimore, MD, USA
ABSTRACT
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.
INDEX TERMS
Computer security, Twitter, Knowledge based systems, Software, Data mining, Ontologies,
CITATION
Sudip Mittal, Prajit Kumar Das, Varish Mulwad, Anupam Joshi, Tim Finin, "CyberTwitter: Using Twitter to generate alerts for cybersecurity threats and vulnerabilities", 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), vol. 00, no. , pp. 860-867, 2016, doi:10.1109/ASONAM.2016.7752338
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