面向隐私安全的车联网群智感知系统架构

Privacy and Security-oriented Crowdsensing System Framework for Vehicular Networks

车联网群智感知可以充分利用参与车辆的移动性来定向地为有需要的个人或组织提供精准的数据服务,然而这也使得车辆在V2X通信时将面临更严峻的隐私安全威胁。因此,首先分析了车联网群智感知系统架构的设计需要考虑的关键因素,其次讨论了群智感知系统面临的隐私安全威胁及相应的安全需求,最后提出了一种保护隐私安全的区块链赋能的条件分布式车联网群智感知系统架构,为未来车联网群智感知系统的发展和完善、部署和应用提供参考。

Vehicular crowdsensing systems can make full use of the mobility of participating vehicles to provide precise data services to individuals or organizations in need.However,this also makes vehicles face more severe privacy and security threats during V2X communication.Therefore,this paper firstly analyzes the key factors that need to be considered in the design of the vehicular crowdsensing systems framework.Secondly,the privacy security threats and the corresponding security requirements are discussed.Finally,a blockchain-enabled conditional decentralized vehicular crowdsensing system framework is proposed to protect privacy and security,which provides a reference for further development,improvement,deployment,and application of future vehicular crowdsensing systems.