Aunshul Rege


Research Website: CARE

NSF CAREER grant [Sep 2015-Aug 2020]
Title:"CAREER: Applying a Criminological Framework to Understand Adaptive Adversarial Decision-Making Processes in Critical Infrastructure Cyberattacks"
Role: PI

NSF EAGER grant [Sep 2017-Aug 2019]
Title:"EAGER: Collaborative: A Criminology-Based Simulation of Dynamic Adversarial Behavior in Cyberattacks"
Role: PI

NSF CPS grant [Jan 2015-Dec 2017]
Title: "CPS: Synergy: Collaborative Research: Towards Secure Networked Cyber-Physical Systems: A Game-Theoretic Framework with Bounded Rationality"
Role: Co-PI


Undergraduate Students

Graduate Students

I am an Associate Professor with the Criminal Justice Department at Temple University. I received my PhD from the School of Criminal Justice at Rutgers University in May 2012. My research focuses on proactive cybersecurity, focusing on adversarial behavior, decision-making, movement, adaptation to disruption, and group dynamics. More recently, I have become interested in the area of social engineering, as well as experiential learning and cybersecurity education.

Recent Publications
[ (*) = undergraduate student co-author; (+) = graduate student co-author ]

Rege, A., Yang, S., Mendlein, A. (+), Williams, K. (+), Su, S (+) & Moskal, S. (+). (forthcoming). "Dissecting Cyberadversarial Intrusion Stages via Interdisciplinary Observations". Proceedings from the 6th ACM International Workshop on Security and Privacy Analytics 2020.

Bleiman, R. (*) & Rege, A. (forthcoming). “The susceptibility of humans in disclosing sensitive information”. Proceedings from the 15th International Conference on Cyber Warfare and Security.

Rege, A., Mendlein, A. (+) & Williams, K. (+) (forthcoming). "Security and Privacy Education for STEM Undergraduates: A Shoulder Surfing Course Project". Proceedings of the IEEE Frontiers in Education.

Ulrich, T., Boring, R., McJunkin, T. & Rege, A. (2019). "A visualization approach to performing task analysis of time series event log data from a microworld simulation". Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 63, No. 1, pp. 1867-1871). Sage CA: Los Angeles, CA: SAGE Publications.

Rege, A. & Adams, J. (2019). “The need for more sophisticated cyber-physical systems war gaming exercises”. Proceedings of the 18th European Conference on Cyber Warfare and Security, University of Coimbra, Portugal.

Rege, A., VanZant, S. (2019). "Examining the Roles of Muhajirahs in the Islamic State via Twitter". Proceedings of the IEEE Cyber Science Conference.

Rege, A., Williams, K. (+) & Mendlein, A. (+) (2019). "A Social Engineering Course Project for Undergraduate Students Across Multiple Disciplines". Proceedings of the IEEE Cyber Science Conference.

Asadi, N. (+), Rege, A., Obradovic, Z. (2019). "Pattern discovery in intrusion chains and adversarial movement". Proceedings of the IEEE Cyber Science Conference.

Rege, A., Williams, K. (+) & Mendlein, A. (+) (2019). "An experiential learning cybersecurity project for multiple STEM undergraduates". Proceedings of the 9th IEEE Integrated STEM Education Conference (ISEC).

Dobson, G., Rege, A. & Carley, K. (2018). Informing Active Cyber Defense with Realistic Adversarial Behavior. Journal of Information Warfare., 17(2), pp. 16-31.

Asadi, N. (+), Rege, A. & Obradovic, Z. (2018). "An Assessment of Group Dynamics During Cyber Crime Through Temporal Network Topology". Proceedings of the 10th International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS).

Asadi, N. (+), Rege, A. & Obradovic, Z. (2018). “Analysis of Adversarial Movement Through Characteristics of Graph Topological Ordering”. Proceedings of the International Conference on Cyber Situational Awareness, Data Analytics and Assessment (CyberSA).

Dobson, G., Rege, A. & Carley, K. (2018). Virtual Cyber Warfare Experiments based on Empirically Observed Adversarial Intrusion Chain Behavior. Proceedings from the 13th International Conference on Cyber Warfare and Security.

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. Impact Factor 2.374.

For a complete list of publications, please click here.

Buster (my companion) and I are Associate Members of Therapy Dog International. We get to visit nursing homes, hospitals, universities, and other institutions and wherever else therapy dogs are needed. I am also an active blood donor with the American Red Cross. They have frequent blood drives on Temple campus.

CV Undergrad Research Contact