Visible to the public Measuring the Security Impacts of Password Policies Using Cognitive Behavioral Agent Based ModelingConflict Detection Enabled

TitleMeasuring the Security Impacts of Password Policies Using Cognitive Behavioral Agent Based Modeling
Publication TypeConference Paper
Year of Publication2015
AuthorsVijay Kothari, Dartmouth College, Jim Blythe, University of Southern California, Ross Koppel, University of Pennsylvania, Sean Smith, Dartmouth College
Conference NameSymposium and Bootcamp on the Science of Security (HotSoS)
PublisherACM
Conference LocationUrbana, IL
KeywordsHuman and Societal Aspects of Security and Privacy, Science of Human Circumvention of Security, science of security, UIUC
Abstract

Agent-based modeling can serve as a valuable asset to security personnel who wish to better understand the security landscape within their organization, especially as it relates to user behavior and circumvention. In this paper, we ar- gue in favor of cognitive behavioral agent-based modeling for usable security, report on our work on developing an agent- based model for a password management scenario, perform a sensitivity analysis, which provides us with valuable insights into improving security (e.g., an organization that wishes to suppress one form of circumvention may want to endorse another), and provide directions for future work.

URLhttp://publish.illinois.edu/science-of-security-lablet/files/2014/05/Measuring-the-Security-Inpacts-...
Citation Keynode-23304