Modeling Attacks and Defenses of Operating Systems in Driverless Cars using Game Theory

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Issue Date

2015-04-10

Authors

Park, Kyoung Eun

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Keywords

Game Theory , Operating System , Cyber-Security , Optimization

Abstract

Automobile companies have competed fiercely to create the best autonomous car technology. Autonomous cars utilize operating systems, which creates some cyber-security concerns for the safety of the passengers. Unfortunately, such concerns have not been thoroughly studied in the literature. We develop a game-theoretical model to demonstrate strategic interactions between an autonomous car’s operating system and a hacker. Then we analyze their trade-offs by using Nash equilibrium. The framework provides some robust attack and defense strategies against the worst-case scenario in cyber-security. We provide an initial approach for the effective decision-making development of operating systems in autonomous cars for real-life.

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