Paper Info
Title
Detecting cyber security threats in weblogs using probabilistic models
Abstract
Organizations and governments are becoming vulnerable to a wide variety of security breaches against their information infrastructure. The magnitude of this threat is evident from the increasing rate of cyber attacks against computers and critical infrastructure. Weblogs, or blogs, have also rapidly gained in numbers over the past decade. Weblogs may provide up-to-date information on the prevalence and distribution of various cyber security threats as well as terrorism events. In this paper, we analyze weblog posts for various categories of cyber security threats related to the detection of cyber attacks, cyber crime, and terrorism. Existing studies on intelligence analysis have focused on analyzing news or forums for cyber security incidents, but few have looked at weblogs. We use probabilistic latent semantic analysis to detect keywords from cyber security weblogs with respect to certain topics. We then demonstrate how this method can present the blogosphere in terms of topics with measurable keywords, hence tracking popular conversations and topics in the blogosphere. By applying a probabilistic approach, we can improve information retrieval in weblog search and keywords detection, and provide an analytical foundation for the future of security intelligence analysis of weblogs.
Year
DOI
Venue
2007
10.1007/978-3-540-71549-8_4
PAISI
Keywords
Field
DocType
security breach,probabilistic model,cyber security incident,information retrieval,cyber security weblogs,information infrastructure,various cyber security threat,cyber security threat,cyber attack,security intelligence analysis,cyber crime,intelligence analysis,probabilistic latent semantic analysis,critical infrastructure,cyber security,data mining
Data mining,Internet privacy,Computer science,Computer security,Terrorism,Critical infrastructure,Probabilistic latent semantic analysis,Probabilistic logic,Blogosphere,Intelligence analysis,Information infrastructure,Cyber crime
Conference
Volume
ISSN
Citations 
4430
0302-9743
22
PageRank 
References 
Authors
1.01
10
2
Name
Order
Citations
PageRank
Flora S. Tsai135223.96
Kap Luk Chan2103977.99