Intrusion Detection System을 회피하고 Physical Attack을 하기 위한 GAN 기반 적대적 CAN 프레임 생성방법
Vol. 31, No. 6, pp. 1279-1290,
12월.
2021
10.13089/JKIISC.2021.31.6.1279,
Full Text:
Keywords: Vehicle Privacy, Evasion Attack, Machine Learning, Adversarial example
Abstract Statistics
Cite this article
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
![](https://d2kjln74dkk4oj.cloudfront.net/img/pdficon_small.png)
Keywords: Vehicle Privacy, Evasion Attack, Machine Learning, Adversarial example
Abstract Statistics
Cite this article
[IEEE Style]
김도완 and 최대선, "Intrusion Detection System을 회피하고 Physical Attack을 하기 위한 GAN 기반 적대적 CAN 프레임 생성방법," Journal of The Korea Institute of Information Security and Cryptology, vol. 31, no. 6, pp. 1279-1290, 2021. DOI: 10.13089/JKIISC.2021.31.6.1279.
[ACM Style]
김도완 and 최대선. 2021. Intrusion Detection System을 회피하고 Physical Attack을 하기 위한 GAN 기반 적대적 CAN 프레임 생성방법. Journal of The Korea Institute of Information Security and Cryptology, 31, 6, (2021), 1279-1290. DOI: 10.13089/JKIISC.2021.31.6.1279.