| Issue |
E3S Web Conf.
Volume 268, 2021
2020 6th International Symposium on Vehicle Emission Supervision and Environment Protection (VESEP2020)
|
|
|---|---|---|
| Article Number | 01010 | |
| Number of page(s) | 9 | |
| DOI | https://doi.org/10.1051/e3sconf/202126801010 | |
| Published online | 11 June 2021 | |
Study on cybersecurity attack-defense visualization method based on intelligent connected vehicle
Automotive Technology Information Research Institute, China Automotive Technology and Research Center Co., Ltd, Tianjin, China
* Corresponding author: hanshengqiang@catarc.ac.cn
Attack test and defense verification are important ways to effectively evaluate the cybersecurity performance of Intelligent Connected Vehicle (ICV). This paper investigates the problem of attack-defense visualization in ICV cybersecurity. For the purpose of promoting cybersecurity research capabilities, a novel Cybersecurity Attack-Defense Visualization method based on Intelligent Connected Vehicle (CADV-ICV) is proposed. In this scheme, an Attack-Defense Game model (ADG) is designed so that the logical relationship between the attack and defense can be studied through a system architecture. Then, the CADV-ICV method is implemented through three layers that are hardware layer, software layer and visualization layer. Finally, through an Intelligent Connected Vehicle, two TV monitors, a computer and a server, a real experimental environment is built to test the CADV-ICV method. The experimental results show that CADV-ICV can realize the visual display of attack-defense process, attack messages, defense state, real-time message monitoring, and attack-defense principle for 10 car’s components.
Key words: intelligent connected vehicle / cybersecurity / attack-defense / visualization
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.