Bootstrapping a data mining intrusion detection system

Proceedings of the ACM Symposium on Applied Computing

Volumn , Issue , 2003, Pages 421-425

  Barbará, Daniel ^a   Li, Yi ^a   Couto, Julia ^b   Lin, Jia Ling ^a   Jajodia, Sushil ^a  

^a GEORGE MASON UNIVERSITY   (United States)

^b JAMES MADISON UNIVERSITY   (United States)

Author keywords

Clustering; Intrusion detection; Outliers

Indexed keywords

ALGORITHMIC LANGUAGES; COMPUTER CRIME; COMPUTER SCIENCE; PATTERN RECOGNITION; SECURITY OF DATA;

INTRUSION DETECTION;

DATA MINING;

EID: 0038336923     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/952532.952616     Document Type: Conference Paper

References (12)

1. Ramesh Agarwal and Mahesh Joshi. Pnrule: A new framework for learning classifier models in data mining (a case study in network intrusion). In Proceedings of the 1st SIAM Conference on Data Mining, April 2000.
2. R. Agrawal, T. Imielinski, and A. Swami. Mining association rules between sets of items in large databases. In Proc. of the ACM SIGMOD Conference on Management of Data, Washington D.C., may 1993.
3. D. Barbará, J. Couto, and Y. Li. Coolcat: An entropy-based algorithm for categorical clustering. In Proceedings of the 11th ACM Conference on Information and Knowledge Management ACM Conference on Information and Knowledge Management (CIKM), McLean, VA, November 2002.
4. D. Barbará and S. Jajodia, editors. Applications of Data Mining in Computer Security. Kluwer Academics, 2002.
5. D. Barbará, N. Wu, and S. Jajodia. Detecting novel network intrusions using bayes estimators. In 1st SIAM International Conference on Data Mining, Chicago, IL, April 2001.
6. Eleazar Eskin, Andrew Arnold, Michael Prerau, Leonid Portnoy, and Sal Stolfo. A geometric framework for unsupervised anomaly detection. In Daniel Barbará and Sushil Jajodia, editors, Applications of Data Mining in Computer Security. Kluwer Academics, 2002.
7. S. Hettich(librarian). UCI KDD Archive. http://kdd.ics.uci.edu/.
8. Wenke Lee and Dong Xiang. Information-Theoretic Measures for Anomaly Detection. In Proceedings of The 2001 IEEE Symposium on Security and Privacy, Oakland, CA, May 2001.
9. P. Neumann and P. Porras. Experience with emerald to date. In 1st USENIX Workshop on Intrusion Detection and Network Monitoring, pages 73-80, Santa Clara, California, 1999.
10. P. Porras and P. G. Neumann. Emerald: Event monitoring enabling responses to anomalous live disturbances. In the 19th National Information Systems Security Conference, pages 353-365, Baltimore, MD, October 1997.
11. Leonid Portnoy, Eleazar Eskin, and Salvatore J. Stolfo. Intrusion detection with unlabeled data using clustering. In Proceedings of ACM CSS Workshop on Data Mining Applied to Security (DMSA-2001), Philadelphia, PA, 2001.
12. Alfonso Valdes and Keith Skinner. Adaptive, model-based monitoring for cyber attack detection. In 3rd International Workshop on Recent Advances in Intrusion Detection (RAID 2000), pages 83-90, October 2000.