Data mining-based intrusion detectors

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	1	Wenke Lee , Dong Xiang, Information-Theoretic Measures for Anomaly Detection, Proceedings of the 2001 IEEE Symposium on Security and Privacy, p.130, May 14-16, 2001
	2	2. J. B. D. Cabrera, L. Lewis, X. Qin, Wenke Lee, Ravi Prasanth, B. Ravichandran, and Raman Mehra, Proactive Detection of Distributed Denial of Service Attacks Using MIB Traffic Variables - A Feasibility Study, The Seventh IFIP/IEEE International Symposium on Integrated Network Management (IM 2001), Seattle, WA, May 2001.
	3	Wenke Lee , Rahul A. Nimbalkar , Kam K. Yee , Sunil B. Patil , Pragneshkumar H. Desai , Thuan T. Tran , Salvatore J. Stolfo, A Data Mining and CIDF Based Approach for Detecting Novel and Distributed Intrusions, Proceedings of the Third International Workshop on Recent Advances in Intrusion Detection, p.49-65, October 02-04, 2000
	4	4. Eleazar Eskin, Wenke Lee and Salvatore J. Stolfo. "Modeling System Calls for Intrusion Detection with Dynamic Window Sizes." Proceedings of DISCEX II. June 2001.
	5	5. Wenke Lee, Salvatore J. Stolfo, Philip K. Chan, Eleazar Eskin, Wei Fan, Matthew Miller, Shlomo Hershkop and Junxin Zhang. "Real Time Data Mining-based Intrusion Detection.", Proceedings of DISCEX II. June 2001.
	6	Matthew G. Schultz , Eleazar Eskin , Erez Zadok , Manasi Bhattacharyya , Salvatore J. Stolfo, MEF: Malicious Email Filter - A UNIX Mail Filter That Detects Malicious Windows Executables, Proceedings of the FREENIX Track: 2001 USENIX Annual Technical Conference, p.245-252, June 25-30, 2001
	7	Matthew G. Schultz , Eleazar Eskin , Erez Zadok , Salvatore J. Stolfo, Data Mining Methods for Detection of New Malicious Executables, Proceedings of the 2001 IEEE Symposium on Security and Privacy, p.38, May 14-16, 2001
	8	8. Leonid Portnoy. "Intrusion Detection with Unlabeled Data using Clustering" Undergraduate Thesis. Columbia University: December, 2000.
	9	9. Eleazar Eskin, Matthew Miller, Zhi-Da Zhong, George Yi, Wei-Ang Lee, Sal Stolfo. "Adaptive Model Generation for Intrusion Detection Systems" Workshop on Intrusion Detection and Prevention, 7th ACM Conference on Computer Security, Athens, GR: November, 2000.
	10	10. Wenke Lee, Wei Fan, Matthew Miller, Sal Stolfo, and Erez Zadok. "Toward Cost-Sensitive Modeling for Intrusion Detection and Response" Workshop on Intrusion Detection and Prevention, 7th ACM Conference on Computer Security, Athens, GR: November, 2000.
	11	Eleazar Eskin, Anomaly Detection over Noisy Data using Learned Probability Distributions, Proceedings of the Seventeenth International Conference on Machine Learning, p.255-262, June 29-July 02, 2000
	12	Wei Fan , Wenke Lee , Salvatore J. Stolfo , Matthew Miller, A Multiple Model Cost-Sensitive Approach for Intrusion Detection, Proceedings of the 11th European Conference on Machine Learning, p.142-153, May 31-June 02, 2000
	13	13. Sal Stolfo, Wei Fan, Wenke Lee, Andreas Prodromidis, and Phil Chan. "Cost-based Modeling for Fraud and Intrusion Detection: Results from the JAM Project" In Proceedings of the 2000 DARPA Information Survivability Conference and Exposition (DISCEX '00), 2000.
	14	14. Wenke Lee, Matthew Miller, Sal Stolfo, Kahil Jallad, Christoper Park, Erez Zadok, and Vijay Prabhakar. "Toward Cost-Sensitive Modeling for Intrusion Detection" Columbia University Computer Science Technical Report CUCS-002-00.
	15	15. Matthew Miller. "Learning Cost-Sensitive Classification Rules for Network Intrusion Detection using RIPPER" Columbia University Computer Science Technical Report CUCS-035-1999.
	16	Wenke Lee , Salvatore J. Stolfo , Kui W. Mok, Mining in a data-flow environment: experience in network intrusion detection, Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining, p.114-124, August 15-18, 1999, San Diego, California, United States [doi>10.1145/312129.312212]
	17	17. Wenke Lee, Sal Stolfo, and Kui Mok. "A Data Mining Framework for Building Intrusion Detection Models" In Proceedings of the 1999 IEEE Symposium on Security and Privacy, Oakland, CA, May 1999.
	18	Wenke Lee , Christopher T. Park , Salvatore J. Stolfo, Automated Intrusion Detection Using NFR: Methods and Experiences, Proceedings of the Workshop on Intrusion Detection and Network Monitoring, p.63-72, April 09-12, 1999
	19	19. Wenke Lee, Sal Stolfo, and Kui Mok. "Mining Audit Data to Build Intrusion Detection Models", In Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD '98), New York, NY, August 1998.
	20	20. Wenke Lee and Sal Stolfo. "Data Mining Approaches for Intrusion Detection" In Proceedings of the Seventh USENIX Security Symposium (SECURITY '98), San Antonio, TX, January 1998.
	21	21. Wenke Lee, Sal Stolfo, and Phil Chan. "Learning Patterns from Unix Process Execution Traces for Intrusion Detection", AAAI Workshop: Al Approaches to Fraud Detection and Risk Management, July 1997.
	22	1. Cost Complexity-based Pruning of Ensemble Classifiers, (with A. Prodromidis), Journal on Distributed and Parallel KDD, Special Issue on Knowledge and Information Systems, 2000.
	23	Wenke Lee , Salvatore J. Stolfo, A framework for constructing features and models for intrusion detection systems, ACM Transactions on Information and System Security (TISSEC), v.3 n.4, p.227-261, Nov. 2000 [doi>10.1145/382912.382914]
	24	Philip K. Chan , Wei Fan , Andreas L. Prodromidis , Salvatore J. Stolfo, Distributed Data Mining in Credit Card Fraud Detection, IEEE Intelligent Systems, v.14 n.6, p.67-74, November 1999 [doi>10.1109/5254.809570]
	25	Wenke Lee , Salvatore J. Stolfo , Kui W. Mok, Adaptive Intrusion Detection: A Data Mining Approach, Artificial Intelligence Review, v.14 n.6, p.533-567, December 1, 2000 [doi>10.1023/A:1006624031083]
	26	Wenke Lee , Wei Fan , Matthew Miller , Salvatore J. Stolfo , Erez Zadok, Toward cost-sensitive modeling for intrusion detection and response, Journal of Computer Security, v.10 n.1-2, p.5-22, 2002
	27	Philip Kin-Wah Chan , Salvatore J. Stolfo, An extensible meta-learning approach for scalable and accurate inductive learning, 1996
	28	2. Andreas Prodromidis, Efficiency and Scalability of Distributed Data Mining, Pruning and Bridging Multiple Models September 1999. (Director of Research iPrivacy LLC)
	29	Wenke Lee , Salvatore J. Stolfo, A data mining framework for constructing features and models for intrusion detection systems (computer security, network security), 1999
	30	4. Dave (Wei) Fan, Cost-sensitive, Scaleable AdaptiveLlearning. May 2001, (Member of the research staff at IBM research)

Collaborative Colleagues:

Salvatore J. Stolfo: colleagues

Wenke Lee: colleagues

Philip K. Chan: colleagues

Wei Fan: colleagues

Eleazar Eskin: colleagues