Cybercrime, Proactive Cybersecurity, Critical Infrastructure Cybersecurity, Cyberadversarial Decision-Making and Adaptation, Organized Crime, Integrating Social Science and Hard Science Methodologies, Multidisciplinary Experiential Learning
Aunshul Rege is an associate professor at Temple University. Her National Science Foundation sponsored research projects examine cyberattacks/security from a human behavioral perspective, focusing on adversarial decision-making, adaptation to disruptions, and group dynamics. She intersects theoretical frameworks and methodologies from criminology with hard science approaches (game theory, graph theory, simulations, time series analysis, and machine learning) to foster innovative and multidisciplinary proactive cybersecurity research. She is also passionate about educating the next generation workforce about the relevance of the human factor in cybersecurity through experiential learning projects.
Dobson, G., Rege, A. & Carley, K. (forthcoming). Informing Active Cyber Defense with Realistic Adversarial Behavior. Journal of Information Warfare.
Rege, A., Obradovic, Z., Asadi, N., Parker, E., Pandit, R., Masceri, N., Singer, B. (2018) “Predicting Adversarial Cyber Intrusion Stages Using Autoregressive Neural Networks,” IEEE Intelligent Systems PP(99):1-1.
Rege, A., Parker, E. & McJunkin, T. (2017). “Using a Critical Infrastructure Game to Provide Realistic Observation of the Human in the Loop by Criminal Justice Students”. In Resilience Week (RWS), 2017 (pp. 154-160). IEEE.
Rege, A., Obradovic, Z., Asadi, N., Singer, B., Masceri, N., Heath, Q. (2017). “A Temporal Assessment of Cyber Intrusion Chains Using Multidisciplinary Frameworks and Methodologies,” Proc. Int’l Conf. Cyber Situational Awareness, Data Analytics and Assessment (Cyber SA 2017).
Rege, A., Obradovic, Z., Asadi, N., Parker, E., Masceri, N., Singer, B., Pandit, R. (2017). “Using a Real-Time Cybersecurity Exercise Case Study to Understand Temporal Characteristics of Cyberattacks,” Proc. 2017 Int’l Conf. Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior representation in Modeling and Simulation (SBP-BRiMS)
CJ 3007: Computer Crime (CJ 4007)
CJ 3403: Organized Crime (CJ 3402)
CJ 2401: Nature of Crime (CJ 2401)
CJ 3000: Media, Crime, and Criminal Justice (Special topics)