Author(s):
Journal
Elsevier BV
Abstract
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.
Concluding remarks
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.
Reference details
DOI
10.1016/j.cose.2020.102150
Resource type
Journal Article
Year of Publication
2021
ISSN Number
0167-4048
Publication Area
Civilian cybersecurity
Date Published
2021-04
How to cite this reference:
Kim, K., Kim, J. S., Jeong, S., Park, J.-H., & Kim, H. K. (2021). Cybersecurity for autonomous vehicles: Review of attacks and defense. Elsevier BV. https://doi.org/10.1016/j.cose.2020.102150 (Original work published)