车联网安全隐私保护机制及仿真平台研究与开发

发布时间：2018-06-22 22:28

本文选题：车联网 + 安全架构　；参考：《广东工业大学》2015年硕士论文

【摘要】：车联网(VANET)可有效提升驾驶体验和交通安全,是一种具有实用需求和广泛应用前景的新型移动自组织网络。车联网具有网络规模巨大和无线信道开放等特性,这决定了防范网络内部和外部安全威胁的必要性,信息安全和隐私保护是车联网研究中的关键问题。车联网全面推向商用之前必须经过严格的测试和验证,然而车联网的现场试验代价甚高,通过仿真平台进行车联网研究是验证车联网系统的有效方式。本文在深入研究车联网普遍存在的安全与隐私威胁的基础上,分析了车联网分布式认证结构的特点和云计算技术在车联网中的应用,主要工作着眼于云构架下车联网安全隐私保护机制的研究,旨在通过结合安全隐私保护协议与技术,解决车联.网在提供智能交通服务过程中遭遇的信息安全和隐私保护问题；另一方面是在深入研究车联网仿真平台iTETRIS工作原理的基础上,提出了相关改进和扩展方案并进行工程实现。主要研究工作包括如下几个方面：1.提出了一种基于多层云的车联网安全架构模型。该模型结合车联网分布式认证和云计算在车联网中应用的研究,自顶向下划分为中心云认证中心、本地微云认证中心、OBU保护模块三个层次,分析表明该模型比基于RSU的分布认证模型拥有更好的安全性,而且具备良好的实际部署能力和可扩展能力。2.提出了一种基于云安全架构的车联网假名管理方案。该方案采用三方参与的追溯协议和基于可计数Bloom filter的证书撤销机制,可以有效地减少针对证书撤销所产生的恶意攻击,性能分析表明该方案在控制CRL大小和撤销操作时间复杂度两个方面的性能要优于已有方案。3.对车联网仿真平台iTETRIS的改进和扩展。针对车联网仿真场景设计不便的问题,设计并实现了仿真平台交通模型制作软件,提高了仿真场景的设计制作效率；针对仿真平台扩展的需求问题,设计并实现了安全模块扩展,解决了缺少关键仿真实体而无法进行车联网安全场景仿真的问题。
[Abstract]:Vehicle networking (VANET) is a new mobile ad hoc network with practical needs and wide application prospects, which can effectively improve the driving experience and traffic safety. Vehicle networking has the characteristics of large scale of network and open wireless channel, which determines the necessity of guarding against internal and external security threats. Information security and privacy protection are the key issues in the research of vehicle networking. Vehicle networking must be strictly tested and verified before it can be put into commercial use. However, the field test of vehicle networking is very costly, so it is an effective way to verify the vehicle networking system by means of simulation platform. Based on the deep study of the security and privacy threats in vehicle networking, this paper analyzes the characteristics of distributed authentication architecture and the application of cloud computing technology in vehicle networking. The main work is focused on the research of the security and privacy protection mechanism of the cloud frame and alighting network, which aims to solve the problem by combining the security and privacy protection protocol and technology. The problems of information security and privacy protection encountered in the process of providing intelligent transportation services are discussed. On the other hand, on the basis of in-depth research on the working principle of iTTRIS, a related improvement and extension scheme is put forward and implemented in engineering. The main research work includes the following aspects: 1. This paper presents a security architecture model of vehicle networking based on multi-layer cloud. This model combines the research of vehicle network distributed authentication and cloud computing application in vehicle network, and it is divided into three levels: central cloud authentication center and local micro cloud authentication center, and OBU protection module. The analysis shows that the proposed model is more secure than the RSU-based distributed authentication model, and has good practical deployment capability and extensible capability. This paper presents a scheme of vehicle networking pseudonym management based on cloud security architecture. The scheme adopts the traceability protocol of tripartite participation and the certificate revocation mechanism based on counting Bloom filter, which can effectively reduce the malicious attack against certificate revocation. The performance analysis shows that the performance of this scheme is better than that of existing scheme. 3 in controlling CRL size and time complexity of undo operation. The improvement and extension of iTETRIS. Aiming at the inconvenient design of vehicle network simulation scene, the traffic model making software of simulation platform is designed and implemented, which improves the efficiency of simulation scene design and production, and aims at the demand of simulation platform expansion. The security module extension is designed and implemented, which solves the problem of the lack of key simulation entities and the inability to simulate the security scene of vehicle networking.
【学位授予单位】：广东工业大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TP391.44;TN929.5

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