Anomaly Detection Against GPS Spoofing Attacks on Connected and Autonomous Vehicles Using Learning From Demonstration-Reference-Cited by-同舟云学术

Anomaly Detection Against GPS Spoofing Attacks on Connected and Autonomous Vehicles Using Learning From Demonstration

Published:2023-09 Issue:9 Volume:24 Page:9462-9475
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Yang Zhen¹^ORCID,Ying Jun²,Shen Junjie³^ORCID,Feng Yiheng²^ORCID,Chen Qi Alfred³,Mao Z. Morley⁴^ORCID,Liu Henry X.¹^ORCID

Affiliation:

1. Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, MI, USA

2. Lyles School of Civil Engineering, Purdue University, West Lafayette, IN, USA

3. Department of Computer Science, University of California at Irvine, Irvine, CA, USA

4. Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA

Funder

U.S. National Science Foundation through Grant

United States Department of Transportation (USDOT) University Transportation Center

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

https://ieeexplore.ieee.org/ielam/6979/10235283/10109166-aam.pdf

Reference45 articles.

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3. Recent progress in road and lane detection: a survey

4. Survey on Misbehavior Detection in Cooperative Intelligent Transportation Systems

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