@inproceedings{6bafae831cff42ef942d1d2a9b08df12,
title = "GNSS Spoofing Detection Based Correlation and Distance for Vehicle Application",
abstract = "Autonomous vehicle (AV) has been a hot topic in recent years, but some safety accidents of some self-driving cars have also aroused people's concern about the safety of AV. Among all AV security threats, GNSS spoofing attack is becoming a technology that can be used artificially and has an excellent potential threat to AV security. This paper proposes a GNSS spoofing detection method based on correlation and distance. The spoofing attack simulation experiment results suggest that a delayed attack can be detected with nearly 99.2\% probability in one second alarm time.",
keywords = "Autonomous vehicle, GNSS Spoofing, Vehicle Application",
author = "Yanzhao Yang and Jun Guo and Shouwei Wang and Jiesen Yang and Hong Liu",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 7th IEEE International Conference on Smart Internet of Things, SmartIoT 2023 ; Conference date: 25-08-2023 Through 27-08-2023",
year = "2023",
doi = "10.1109/SmartIoT58732.2023.00017",
language = "英语",
series = "Proceedings - 2023 IEEE International Conference on Smart Internet of Things, SmartIoT 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "64--71",
booktitle = "Proceedings - 2023 IEEE International Conference on Smart Internet of Things, SmartIoT 2023",
address = "美国",
}