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Title	Cybersecurity For Autonomous Vehicles: Review Of Attacks And Defense
ID_Doc	17014
Authors	Kim K.; Kim J.S.; Jeong S.; Park J.-H.; Kim H.K.
Year	2021
Published	Computers and Security, 103
DOI	http://dx.doi.org/10.1016/j.cose.2020.102150
Abstract	As technology has evolved, cities have become increasingly smart. Smart mobility is a crucial element in smart cities, and autonomous vehicles are an essential part of smart mobility. However, vulnerabilities in autonomous vehicles can be damaging to quality of life and human safety. For this reason, many security researchers have studied attacks and defenses for autonomous vehicles. However, there has not been systematic research on attacks and defenses for autonomous vehicles. In this survey, we analyzed previously conducted attack and defense studies described in 151 papers from 2008 to 2019 for a systematic and comprehensive investigation of autonomous vehicles. We classified autonomous attacks into the three categories of autonomous control system, autonomous driving systems components, and vehicle-to-everything communications. Defense against such attacks was classified into security architecture, intrusion detection, and anomaly detection. Due to the development of big data and communication technologies, techniques for detecting abnormalities using artificial intelligence and machine learning are gradually being developed. Lastly, we provide implications based on our systemic survey that future research on autonomous attacks and defenses is strongly combined with artificial intelligence and major component of smart cities. © 2021
Author Keywords	Autonomous vehicle artificial intelligence security survey; Smart city; Smart mobility

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