Research On Privacy-preserving And Lightweight Traffic Monitoring Protocol

With the rapid development of intelligent transportation and vehicle communication technology,traffic monitoring systems have become increasingly intelligent and sophisticated.In traditional traffic monitoring systems,traffic management departments generate and publish traffic conditions maps by processing real-time driving data submitted by vehicles,thereby providing convenient transportation services to users in the system.However,the traffic conditions near the vehicle are crucial for the driver’s driving safety.If obtained from a remote server,it will generate a greater communication burden and lead to a higher propagation delay.On the other hand,privacy security is also increasingly valued by people.Traffic management departments can obtain a large amount of privacy information from users through analyzing vehicle driving data,which is not acceptable to users.Therefore,building a lightweight traffic monitoring system with privacy protection is an important issue of concern,and it is also an important reason for us to choose to study traffic monitoring protocols.The main work of this paper includes the following aspects:(1)To address the problem of privacy and communication efficiency in traffic monitoring systems,in this paper,we propose a Lightweight and Privacy-preserving Traffic Monitoring scheme(LPTM),which is implemented based on the Elliptic Curve Cryptosystem(ECC)and the optimized Timed Efficient Stream Loss-tolerant Authentication Protocol(TESLA).In order to protect user privacy information,we propose to set the Roadside Unit(RSU)as a fog node,where the RSU processes the specific driving data of local vehicles,thereby forming a local traffic conditions map for local users and traffic management departments to use.On the other hand,the protocol based on ECC and TESLA for vehicle authentication and rapid submission of driving data has higher communication efficiency and lower computational burden compared to the protocol designed based on bilinear pairing.In addition,the results of security analysis and performance evaluation indicate that the traffic monitoring protocol proposed in this paper is efficient and safe.(2)Based on the LPTM model,faster authentication of vehicles with public attributes and efficient broadcasting of traffic conditions maps by RSU have become another important issue that we are focusing on.In order to achieve faster authentication of public attribute vehicles,public attribute vehicles will plan their routes before traveling,calculate the RSUs they need to pass through,and then,with the help of the traffic management department,achieve key negotiation with these RSUs to achieve rapid authentication.On the other hand,the Identity-based Signature Scheme with Partial Message Recovery(PMR-IBS)algorithm is used to reduce the length of sent messages to improve the broadcast efficiency of RSU for traffic conditions maps.