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Machine Learning Applied to Security

Carter, K., Streilein, W., Probabilistic Reasoning for Streaming Anomaly Detection, in Proceedings of IEEE Statistical Signal Processing Workshop, Ann Arbor, MI, August 5, 2012.
(Full Paper)

Carter, K., Gold, K., Priest, B., Analytics for Cyber Situational Awareness, 80th Annual MORS Symposium, Colorado Springs, CO, June 14, 2012.
(Abstract)

Laskov, P., Lippmann, R., Machine Learning in Adversarial Environments, Machine Learning Journal, 81, 2010.
(Journal Article)

Wright, C. V., Connelly, C., Braje, T., Rabek, J. C., Rossey, L. M., Cunningham, R. K., Generating Client Workloads and High-Fidelity Network Traffic for Controllable, Repeatable Experiments in Computer Security, RAID 2010, Ottawa, CA, 15-17 September 2010.
(Full Paper)

Carter, K. M., Lippman, R. P., Boyer, S. W., Temporally Oblivious Anomaly Detection on Large Networks Using Functional Peers, Internet Measurement Conference 2010, Melbourne, Australia, 3 November 2010, pp. 465-471.
(Full Paper)

Lippmann, R.P., Fried, D., Piwowarski, K., Streilein, W., Passive Operating System Identification from TCP/IP Packet Headers. in Proceedings Workshop on Data Mining for Computer Security (DMSEC), 2003.
(Full Paper)

Dain, O. M., Cunningham, R. K., Building Scenarios from a Heterogeneous Alert Stream, IEEE Transactions on Systems, Man and Cybernetics, 2002.
(Full Paper)

Dain, O.M., Cunningham, R. K., Fusing a Heterogeneous Alert Stream into Scenarios, ACM Computer and Communications Security 2001. Philadelphia, Pennsylvania, USA, Nov. 5–8, 2001.
(Full Paper)

Cunningham, R. K., Stevenson, C., Accurately Detecting Source Code of Attacks That Increase Privilege, RAID 2001 Proceedings, Davis, California, USA, pp. 104–116, October, 2001.
(Full Paper)

Cunningham, R. K., Reiser, A., Detecting Source Code of Attacks that Increase Privilege, RAID 2000 Proceedings, Toulouse, France, October 2–4, 2000.
(Abstract)

Lippmann, R. P., Cunningham, R. K., Using Key-String Selection and Neural Networks to Reduce False Alarms and Detect New Attacks with Sniffer-Based Intrusion Detection Systems. Second International Workshop on Recent Advances in Intrusion Detection (RAID 1999), West Lafayette, Indiana, 1999.
(Abstract)

Lippmann, R. P., Wyschogrod, D., Webster, S. E., Weber, D. J., Gorton, S., Using Bottleneck Verification to Find Novel New Attacks with a Low False-Alarm Rate, First International Workshop on Recent Advances in Intrusion Detection, Louvain-la-Neuve, Belgium, 1998.
(Abstract)

Lippmann, R.P., Kukolich, L., Shahian D., Predicting the Risk of Complications in Coronary Artery Bypass Operations Using Neural Networks, in Advances in Neural Information Processing Systems 7, G. Tesauro, D. Touretzky, and T. Leen, eds., Morgan Kaufmann: San Mateo, CA, pp. 1055–1062. 1995.
(Abstract)

Lippmann, R.P., Neural Networks, Bayesian a posteriori Probabilities and Pattern Classification, in From Statistics to Neural Networks. Theory and PatternRecognition Applications, V. Cherkassky, J.H. Friedman, and H. Wechsler, eds., Springer-Verlag. 1994.
(Abstract)

Lippmann, R.P., Chang, E.I., Jankowski, C.R., Wordspotter Training Using Figure-Of-Merit Back-Propagation, in International Conference on Acoustics Speech and Signal Processing, Adelaide, Australia. 1994.
(Abstract)

Lippmann, R.P., An Introduction to Computing with Neural Nets, IEEE Acoustical Speech and Signal Processing Magazine, 4, 4–22, 1987. Reprinted in Neural Networks: Theoretical Foundations and Analysis, Edited by Clifford Lau, IEEE Press, 1992. Also reprinted in Optical Neural Networks, Edited by S. Jutamulia, SPIE Optical Engineering Press, 1994.
(Abstract)

Lippmann, R.P., Kukolich, L., and Singer, E. LNKnet: Neural Network, Machine-Learning, and Statistical Software for Pattern Classification, Lincoln Laboratory Journal, 6(2) pp. 249–268. 1993.
(Abstract)

Richard, M. D. and Lippmann, R. P., Neural Network Classifiers Estimate Bayesian a posteriori Probabilities, Neural Computation, 3, pp. 461–483. 1991.
(Abstract)

Kelly, W. J., Lippmann, R. P., Group-Vote Rules for Adaptive Psychological Testing, Journal of the Acoustical Society of America, 906–908, 1979.

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