Visible to the public Validating an Agent-Based Model of Human Password BehaviorConflict Detection Enabled

TitleValidating an Agent-Based Model of Human Password Behavior
Publication TypeConference Paper
Year of Publication2016
AuthorsBruno Korbar, Dartmouth College, Jim Blythe, University of Southern California, Ross Koppel, University of Pennsylvania, Vijay Kothari, Dartmouth College, Sean Smith, Dartmouth College
Conference NameAAAI-16 Workshop on Artificial Intelligence for Cyber Security
Date Published02/2016
Conference LocationPheonix, AZ
KeywordsAgent-based modeling, password behavior

Effective reasoning about the impact of security policy decisions requires understanding how human users actually behave, rather than assuming desirable but incorrect behavior. Simulation could help with this reasoning, but it requires building computational models of the relevant human behavior and validating that these models match what humans actually do. In this paper we describe our progress on building agent-based models of human behavior with passwords, and we demonstrate how these models reproduce phenomena
shown in the empirical literature.

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