Nandi Leslie |
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Engineering Fellow
Raytheon Technologies |
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Tech Vision Talk: Unsupervised Learning for Network Intrusion Detection
Abstract For nearly 40 years, computer scientists and engineers have been concerned with the problem of monitoring networks for unauthorized activities. More recently, anomaly-based intrusion detection systems have been developed to protect enterprise and mobile networks from such attacks. Nonetheless, in-vehicle networks remain vulnerable to a variety of remote attacks that erode information confidentiality, availability, and integrity. Specifically, cyberattacks on the SAE J1939 protocol based on controller access network (CAN) bus for heavy-duty ground vehicles can lead to detectable changes in the physical characteristics of the vehicle. In this talk, I develop an ensemble hierarchical agglomerative clustering (E-HAC) algorithm for detecting remote attacks on the CAN bus. E-HAC is an ensemble learning approach over multiple clustering algorithms with different linkages and pairwise distances between observations. In addition, I present prediction performance results for a dataset consisting of CAN bus and remote attack network traffic to demonstrate the effectiveness of this E-HAC algorithm.
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Biography
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Nandi is an Engineering Fellow at Raytheon Technologies with over twenty-two years of experience as an applied mathematician. Since 2015, she has also served as a Principal Investigator at the U.S. Army Research Laboratory (ARL). Her interests are focused on machine learning, computational modeling, cybersecurity, and network resilience. She has written over 55 publications in peer-reviewed journals, conference proceedings, and book chapters. From 2007 to 2015, she led and contributed to multi-target tracking projects for the U.S. Navy Submarine Security Technology Program Office as a Program Manager and Senior Operations Research Analyst at Systems Planning and Analysis, Inc. She was a Postdoctoral Researcher and Instructor in the Department of Mathematics at University of Maryland, College Park from 2005 to 2007. She received her B.S. in Mathematics from Howard University and her M.A. and Ph.D. in Applied and Computational Mathematics from Princeton University.
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