Tao Hai, Muammer Aksoy, Celestine Iwendi, Ebuka Ibeke, Senthilkumar Mohan
{"title":"CIA Security for Internet of Vehicles and Blockchain-AI Integration","authors":"Tao Hai, Muammer Aksoy, Celestine Iwendi, Ebuka Ibeke, Senthilkumar Mohan","doi":"10.1007/s10723-024-09757-3","DOIUrl":null,"url":null,"abstract":"<p>The lack of data security and the hazardous nature of the Internet of Vehicles (IoV), in the absence of networking settings, have prevented the openness and self-organization of the vehicle networks of IoV cars. The lapses originating in the areas of Confidentiality, Integrity, and Authenticity (CIA) have also increased the possibility of malicious attacks. To overcome these challenges, this paper proposes an updated Games-based CIA security mechanism to secure IoVs using Blockchain and Artificial Intelligence (AI) technology. The proposed framework consists of a trustworthy authorization solution three layers, including the authentication of vehicles using Physical Unclonable Functions (PUFs), a flexible Proof-of-Work (dPOW) consensus framework, and AI-enhanced duel gaming. The credibility of the framework is validated by different security analyses, showcasing its superiority over existing systems in terms of security, functionality, computation, and transaction overhead. Additionally, the proposed solution effectively handles challenges like side channel and physical cloning attacks, which many existing frameworks fail to address. The implementation of this mechanism involves the use of a reduced encumbered blockchain, coupled with AI-based authentication through duel gaming, showcasing its efficiency and physical-level support, a feature not present in most existing blockchain-based IoV verification frameworks.</p>","PeriodicalId":3,"journal":{"name":"ACS Applied Electronic Materials","volume":null,"pages":null},"PeriodicalIF":4.3000,"publicationDate":"2024-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Electronic Materials","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1007/s10723-024-09757-3","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
The lack of data security and the hazardous nature of the Internet of Vehicles (IoV), in the absence of networking settings, have prevented the openness and self-organization of the vehicle networks of IoV cars. The lapses originating in the areas of Confidentiality, Integrity, and Authenticity (CIA) have also increased the possibility of malicious attacks. To overcome these challenges, this paper proposes an updated Games-based CIA security mechanism to secure IoVs using Blockchain and Artificial Intelligence (AI) technology. The proposed framework consists of a trustworthy authorization solution three layers, including the authentication of vehicles using Physical Unclonable Functions (PUFs), a flexible Proof-of-Work (dPOW) consensus framework, and AI-enhanced duel gaming. The credibility of the framework is validated by different security analyses, showcasing its superiority over existing systems in terms of security, functionality, computation, and transaction overhead. Additionally, the proposed solution effectively handles challenges like side channel and physical cloning attacks, which many existing frameworks fail to address. The implementation of this mechanism involves the use of a reduced encumbered blockchain, coupled with AI-based authentication through duel gaming, showcasing its efficiency and physical-level support, a feature not present in most existing blockchain-based IoV verification frameworks.
由于缺乏联网设置,车联网(IoV)的数据安全性和危险性不足,阻碍了车联网汽车网络的开放性和自组织性。源于保密性、完整性和真实性(CIA)领域的漏洞也增加了恶意攻击的可能性。为了克服这些挑战,本文提出了一种更新的基于游戏的 CIA 安全机制,利用区块链和人工智能(AI)技术确保物联网汽车的安全。所提出的框架由三层可信授权解决方案组成,包括使用物理不可克隆函数(PUF)对车辆进行身份验证、灵活的工作证明(dPOW)共识框架和人工智能增强型对决游戏。不同的安全分析验证了该框架的可信度,表明其在安全性、功能性、计算量和交易开销方面优于现有系统。此外,所提出的解决方案还能有效处理侧信道和物理克隆攻击等挑战,而许多现有框架都无法解决这些问题。该机制的实施涉及使用减少了加密的区块链,并通过决斗游戏与基于人工智能的身份验证相结合,从而展示了其效率和物理层支持,这是大多数现有基于区块链的物联网验证框架所不具备的功能。