Visible to the public Longitudinal analysis of a large corpus of cyber threat descriptions

TitleLongitudinal analysis of a large corpus of cyber threat descriptions
Publication TypeJournal Article
Year of Publication2014
AuthorsMezzour, Ghita, Carley, L. Richard, Carley, Kathleen M.
JournalJournal of Computer Virology and Hacking Techniques
KeywordsCMU, Geo-Temporal Characterization of Security Threats, Policy-Governed Secure Collaboration, science of security, SoS Lablet

Online cyber threat descriptions are rich, but little research has attempted to systematically analyze these descriptions. In this paper, we process and analyze two of Symantec's online threat description corpora. The Anti-Virus (AV) corpus contains descriptions of more than 12,400 threats detected by Symantec's AV, and the Intrusion Prevention System (IPS) corpus contains descriptions of more than 2,700 attacks detected by Symantec's IPS. In our analysis, we quantify the over time evolution of threat severity and type in the corpora. We also assess the amount of time Symantec takes to release signatures for newly discovered threats. Our analysis indicates that a very small minority of threats in the AV corpus are high-severity, whereas the majority of attacks in the IPS corpus are high-severity. Moreover, we find that the prevalence of different threat types such as worms and viruses in the corpora varies considerably over time. Finally, we find that Symantec prioritizes releasing signatures for fast propagating threats.

Citation Keynode-15406