Academic Field

Computer Science, Systems, and Security

Faculty Mentor Name

Jun Zhuang

Presentation Type

Oral Presentation

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.

Keywords

Game theory, Operating system, Cyber-security, Optimization

Start Date

10-4-2015 4:15 PM

End Date

10-4-2015 5:30 PM

Location

Hartwell Hall 221

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Apr 10th, 4:15 PM Apr 10th, 5:30 PM

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

Hartwell Hall 221

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.