期刊论文、会议论文

Peng, Lei(lei.peng@siat.ac.cn)

英文

2022 IEEE 25TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC)

2153-0009

2022

2022-October

1075-1081

2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)

2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)

08 October 2022

Macau, China

[Zhao, Ziqi;Yang, Bin] Univ South China, Sch Elect Engn, Hengyang 421001, Peoples R China.^[Zhao, Ziqi;Zhang, Kangshuai;Peng, Lei] Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen 518055, Peoples R China.^[Shu, Hongfeng;Liu, Qi] Shenzhen SmartC Technol Dev Grp Co Ltd, Shenzhen 518038, Peoples R China.

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

978-1-6654-6881-7

10.1109/ITSC55140.2022.9922532

10.13039/501100012166-National Key R&D Program of China (Grant Number: 2020YFB2104300) 10.13039/501100001809-National Natural Science Foundation of China (Grant Number: 61871210)

本校为第一机构

Sensing intrusion is a new threat to information security of automatic driving system, which employs digital noise like adversarial sample to show sensors fake information, aiming to mislead decision making and eventually achieve the hacker's illegal intention. Unfortunately, it is difficult for most traditional information security techniques to deal with this novel risk. Even if the methods like outlier detection can pick out the abnormal sensing data, they still hardly tell the samples containing adversarial noise. In this paper, a method based on semantic similarity check is proposed to ad...