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An intrusion detection scheme for driverless vehicles based gyroscope sensor profiling

Alheeti, Khattab M Ali and Al-Zaidi, Rabab and Woods, John and McDonald-Maier, Klaus (2017) An intrusion detection scheme for driverless vehicles based gyroscope sensor profiling. In: 2017 IEEE International Conference on Consumer Electronics (ICCE), 2017-01-08 - 2017-01-10, Las Vegas, NV.

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Vehicular ad-hoc networks of self-driving vehicles are potentially exposed to both internal and external attacks. The privacy and security of these networks is paramount for effective protection of communication systems from possible attacks. We propose an intelligent intrusion detection system in this paper that is based on Integrated Circuit Metrics (ICMetrics), which has significant defensive capability against unexpected attacks. The proposed security system shows good performance in identifying and blocking malicious vehicles in vehicular ad-hoc networks of driverless vehicles and semi driverless vehicles.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: 2017 IEEE International Conference on Consumer Electronics (ICCE)
Uncontrolled Keywords: gyroscopes, intelligent transportation systems, mobile robots, road vehicles, sensors, telecommunication security, vehicular ad hoc networks, ICMetrics, communication systems, gyroscope sensor profiling, integrated circuit metrics, intelligent intrusion detection system, security system, self-driving vehicles, semidriverless vehicles, vehicular ad-hoc networks, Conferences, Error analysis, Feature extraction, Gyroscopes, Intrusion detection, Robot sensing systems, ICMetric, IDS, Security, self-driving cars
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TL Motor vehicles. Aeronautics. Astronautics
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Jim Jamieson
Date Deposited: 29 Jun 2017 15:11
Last Modified: 22 Jul 2020 10:48

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