Sybil Attack Detection in VANETs: An LSTM-Based BiGAN Approach-Reference-Cited by-同舟云学术

Sybil Attack Detection in VANETs: An LSTM-Based BiGAN Approach

Published:2023-10-16 Issue: Volume: Page:113-120
ISSN:
Container-title:2023 International Conference on Data Security and Privacy Protection (DSPP)
language:
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Author:

Zhong Yongchao¹,Yang Haonan¹,Li Ying²,Yang Bo¹,Li Xiaoqi¹,Yue Qiuling¹,Hu Jinglu³,Zhang Yuqing¹

Affiliation:

1. Hainan University,Department of Cyberspace Security,Haikou,China

2. University of Chinese Academy of Sciences Zhongguancun Laboratory,School of Computer Science and Technology,Beijing,China

3. Waseda University,Graduate School of Information, Production and Systems,Shinjuku-ku,Japan

Funder

Research and Development

Hainan University

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10404093/10404178/10404993.pdf?arnumber=10404993

Reference26 articles.

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4. Security and Privacy in Vehicular Ad Hoc Network and Vehicle Cloud Computing: A Survey

5. Malicious Node Detection in Vehicular Ad-hoc Network (VANET) using Enhanced Beacon Trust Management with Clustering Protocol (EBTM-CP)

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