{"title":"Research on the Information Security and System Security of the Zero-Trust Framework—Taking an Intelligent Connected Vehicle Platoon as an Example","authors":"Yuhong Na, Yanning Wang, Xingxing Hua, Yaxing Zhang, Yunhu Zhou, Darong Huang","doi":"10.1155/int/5583362","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":14089,"journal":{"name":"International Journal of Intelligent Systems","volume":"2026 1","pages":""},"PeriodicalIF":4.8000,"publicationDate":"2026-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/int/5583362","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Intelligent Systems","FirstCategoryId":"94","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1155/int/5583362","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0
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.
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.