Using PLSI-U to detect insider threats from email traffic

IFIP Advances in Information and Communication Technology

Volumn 222, Issue , 2006, Pages 91-103

  Okolica, James ^a   Peterson, Gilbert ^a   Mills, Robert ^a  

^a AIR FORCE INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Data mining; Insider threat; Probabilistic latent semantic indexing (PLSI); Social networks

Indexed keywords

E-MAIL TRAFFIC; GOVERNMENT ORGANIZATIONS; INSIDER THREAT; PROBABILISTIC LATENT SEMANTIC INDEXING; SOCIAL NETWORKS;

ELECTRONIC CRIME COUNTERMEASURES; ELECTRONIC MAIL; INDEXING (OF INFORMATION); PERSONNEL; SEMANTICS; SOCIAL NETWORKING (ONLINE);

COMPUTER CRIME;

EID: 34047201737     PISSN: 18684238     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-0-387-36891-7-8     Document Type: Conference Paper

References (12)

1. D. Cohn and H. Chang, Learning to probabilistically identify authoritative documents, Proceedings of the Seventeenth International Conference on Machine Learning, Morgan Kaufmann, San Francisco, California, pp. 167-174, 2000.
2. M. Girolami and A. Kaban, On an equivalence between PLSI and LDA (citeseer.ist.psu.edujgirolarni03equivalence.htrnl).
3. K. Herbig and M. Wiskoff, Espionage Against the United States by American Citizens 1947-2001, Technical Report, Defense Personnel Security Research Center, Monterey, California, 2002.
4. T. Hoffman, Probabilistic latent semantic indexing, Proceedings of the Twenty-Second Annual ACM Conference on Research and Development in Information Retrieval, 1999.
5. P. Keila and D. Skillicorn, Detecting Unusual and Deceptive Communication in Email, Technical Report, Queen's University, Kingston, Ontario, Canada, 2005.
6. S. Martin, A. Sewani, B. Nelson, K. Chen and A. Joseph, Analying behaviorial features for email classification, Proceedings of the Second Conference on Email and Anti-Spam, 2005.
7. A. McCallum, A. Corrada-Emmanuel and X. Wang, Topic and role discovery in social networks, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, 2004.
8. B. McLean and P. Elkind, The Smartest Guys in the Room, Penguin, New York, 2003.
9. Merriam-Webster Collegiate Dictionary, Espionage (www.m-w.com j cgi-binjdictionary).
10. RAND, Research and development initiatives focused on preventing, detecting and responding to insider misuse of critical dE7 fense information systems (www.rand.orgj publicationsjCFj CF151 jCF151.pdf).
11. M. Rosen-Zvi, T. Griffiths, M. Steyvers and P. Smyth, The AuthorTopic Model for authors and documents, Proceedings of the Twentieth Conference on Uncertainty in Artificial Intelligence, pp. 487494, 2004.
12. S. Symonenko, E. Libby, O. Yilmazel, R. Del Zoppo, E. Brown and M. Downey, Semantic analysis for monitoring insider threats, Proceedings of the Second Symposium on Intelligence and Security Informatics, 2004.