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Center for Education and Research in Information Assurance and Security

Quantitative Risk Assessment of Software Security and Privacy, and Risk Management with Game Theory

Mehmet Sahinoglu - Auburn University at Montgomery, AL

Feb 11, 2009

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The need for information security is undeniable and self-evident. The pervasiveness of this critical topic requires primarily risk assessment and management through quantitative means. To conduct an assessment; repeated security probes, surveys, and input data measurements must be taken and verified toward the goal of risk mitigation with minimal cost. One can evaluate risk using a probabilistically accurate statistical estimation scheme in a quantitative security meter (SM) model that mimics the events of the breach of security. An empirical study using Java code is presented and its accuracy is verified by discrete-event or Monte Carlo simulations. The design improves as more data are collected and updated. Practical aspects of the SM are presented with a real-world example as related to a PC user and a risk-management scenario using the Game Theory approach for optimal cost mitigation results.

Index Terms(10)— Quantitative Risk Assessment, Cost Mitigation, Countermeasure, Security, Privacy, Management, Simulation, Threat, Vulnerability, Game Theory

Unless otherwise noted, the security seminar is held on Wednesdays at 4:30P.M. STEW G52 (Suite 050B), West Lafayette Campus. More information...


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