Research on the Information Security and System Security of the Zero-Trust Framework—Taking an Intelligent Connected Vehicle Platoon as an Example

IF 4.8 2区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Yuhong Na, Yanning Wang, Xingxing Hua, Yaxing Zhang, Yunhu Zhou, Darong Huang
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Abstract

With the rapid development of artificial intelligence, in the open communication environment, interference and network attacks on intelligent terminals are more frequent. Therefore, communication security and system security issues in the intelligent platoons become hot topics. Motivated by these, the concept of zero trust was proposed. Under this communication framework, all clients are not trusted by default, and the principle of “never trust, always verify” is followed. In order to maintain communication, they need to be authenticated and authorized. This work discusses the zero-trust framework and mechanism aiming at communication security and gives the structure and module function in detail. Moreover, the impact of malicious cyber-attacks on the network is parameterized, and the safety coefficients of the full-trust and zero-trust frameworks are compared to show the effect of the zero-trust framework on information security. After that, the research studies range from information security to system security, where the effects of the zero-trust framework on terminal distribution, controller design, and system stability are studied, taking an intelligent connected vehicle platoon as an example. Finally, three examples verify the positive impact of the zero-trust framework on network information security.

Abstract Image

零信任框架下的信息安全与系统安全研究——以智能网联车辆组队为例
随着人工智能的快速发展,在开放的通信环境下,对智能终端的干扰和网络攻击更加频繁。因此,智能排的通信安全和系统安全问题成为人们关注的热点。在此基础上,人们提出了零信任的概念。在这个通信框架下,所有的客户端默认是不被信任的,遵循“永不信任,永远验证”的原则。为了保持通信,需要对它们进行身份验证和授权。本文讨论了以通信安全为目标的零信任框架和机制,并给出了详细的结构和模块功能。此外,参数化了网络恶意攻击对网络的影响,对比了全信任框架和零信任框架的安全系数,显示了零信任框架对信息安全的影响。之后,研究范围从信息安全扩展到系统安全,以智能网联车辆排为例,研究了零信任框架对终端分布、控制器设计和系统稳定性的影响。最后,通过三个实例验证了零信任框架对网络信息安全的积极影响。
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来源期刊
International Journal of Intelligent Systems
International Journal of Intelligent Systems 工程技术-计算机:人工智能
CiteScore
11.30
自引率
14.30%
发文量
304
审稿时长
9 months
期刊介绍: The International Journal of Intelligent Systems serves as a forum for individuals interested in tapping into the vast theories based on intelligent systems construction. With its peer-reviewed format, the journal explores several fascinating editorials written by today''s experts in the field. Because new developments are being introduced each day, there''s much to be learned — examination, analysis creation, information retrieval, man–computer interactions, and more. The International Journal of Intelligent Systems uses charts and illustrations to demonstrate these ground-breaking issues, and encourages readers to share their thoughts and experiences.
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