Nandi O. Leslie is a senior principal engineer at Raytheon, serving as a researcher in the Network Science Division at the U.S. Army Research Laboratory. Her research interests are focused on cyber security and resilience quantification and assessments explaining what makes networked devices vulnerable to cyber-attacks—and on using machine learning and other computational modeling approaches to predict, detect, and/or block malicious or anomalous network traffic. At Systems Planning and Analysis, Inc. 2007-2015, she led and contributed to sensor performance projects for the Navy’s Submarine Security and Technology Program, and she developed modeling approaches, using dynamical systems and stochastic processes, to understand search and detection processes and patterns in heterogeneous and dynamic oceanographic and atmospheric environmental conditions. She received her B.S. in Mathematics from Howard University in 1999 and her Ph.D. in Applied and Computational Mathematics from Princeton University in 2005. She was a Postdoctoral Researcher in Mathematics at University of Maryland, College Park from 2005 to 2007. Currently, she is a research adviser for the National Research Council.
Journal Articles
Game Theoretic Modeling of Advanced Persistent Threat in Internet of Things
Cyber-Physical Systems (CPS) and Internet of Things (IoT) devices such as sensors, wearable devices, robots, drones, and autonomous vehicles facilitate the Intelligence, Surveillance and Reconnaissance to Command and Control and battlefield services. However, the extensive use of information and communication…
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