@inproceedings{af05421549ca408889919e22d96447a9,
title = "Adaptive Position Prediction Based GNSS Spoofing Detection for Autonomous Vehicles",
abstract = "Automatic vehicles (AVs) have been a hot topic recently, but GNSS spoofing is becoming a technology that can be used manually and has a huge potential threat to AV security. This paper proposes a GNSS spoofing detection method based on vehicle position prediction and develops a prediction error model, which can dynamically adjust the detection threshold. The simulation results show that this adaptive detection threshold setting can keep the gap between the error distance and the detection threshold in a relatively stable range without spoofing, significantly reducing the possibility of false alarms. Besides, this position prediction method's horizontal error (around 0.01m) is minor enough to satisfy defense demands against spoofing attacks. Overall, the analyses reveal that the spoofing detection method is effective in spoofing attacks with offset in different directions.",
keywords = "Autonomous Vehicles, GNSS Spoofing, Position Prediction",
author = "Jiesen Yang and Hong Liu and Hongxing Hu and Shouwei Wang",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 3rd International Conference on Electronics, Communications and Information Technology, CECIT 2022 ; Conference date: 23-12-2022 Through 25-12-2022",
year = "2022",
doi = "10.1109/CECIT58139.2022.00080",
language = "英语",
series = "Proceedings - 2022 3rd International Conference on Electronics, Communications and Information Technology, CECIT 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "428--434",
booktitle = "Proceedings - 2022 3rd International Conference on Electronics, Communications and Information Technology, CECIT 2022",
address = "美国",
}