Modeling Human Security Behavior Understanding Compliance.pdf

POSTER: Modeling Human Security Behavior: Recent Results on Understanding Compliance

PRESENTER: Jim Blythe, University of Southern California Information Sciences Institute

ABSTRACT:
Since many security problems can be attributed to unexpected or undesirable security behaviors, developing a better understanding of human security behavior would be useful in improving existing security policies and mechanisms. Agent-based models, especially those that focus on these human elements, seem like a promising tool to better understand human security behavior in complex security landscapes. This poster motivates the use of applying agent-based modeling to security problems, provides an overview of DASH (an agent-based modeling framework), discusses previous and current security modeling efforts using DASH, and discusses future work pertaining to such modeling.

CO-PRESENTER(S):
Ross Koppel, Sean Smith

KEYWORDS:
agent-based models, agent-based simulation, cybersecurity modeling, human behavior

PRESENTER BIO:
Jim Blythe is a research scientist at the University of Southern California Information Sciences Institute. He works on human behavior and security with current interests in modeling behavior of attackers, defenders and end users. He has served on the steering committee for the Usable Security series of workshops since 2012, has organized workshops and has numerous publications in artificial intelligence and the computational grid, with over six thousand citations in the literature. He was a fellow of the UK E-Science center. He holds a PhD in artificial intelligence from Carnegie Mellon University.