Design And Implementation Of Privacy-Preserving Location-Based Traffic Density Monitoring Scheme

With the rapid development of vehicular ad hoc network and mobile positioning technology,location-based services(LBS)have been widely applied,such as point of interest(POIs)query,social network services and traffic density monitoring.Among them,traffic density monitoring,as an important way to learn about road traffic conditions,has brought many conveniences to people’s travel in daily life.At present,collecting,processing and analyzing real-time location data of vehicles is the most common method of traffic density monitoring,however,since vehicle location information is closely related to the personal privacy of vehicle owners,there is a risk of leaking the personal privacy information of vehicle owners.Therefore,it is crucial to achieve secure and efficient traffic density monitoring in the internet of vehicles environment.This thesis will focus on the privacy preservation of vehicles in traffic density monitoring in cloud environment.The main work is as follows:This thesis proposes a privacy-preserving location-based traffic density monitoring scheme.The vehicle obtains the current location information through the intelligent sensor,encrypts the location information before signing,generates the signature ciphertext,and sends it to the nearest road side unit(RSU).The scheme can effectively aggregate and verify the signatures in multiple ciphertext information by using the certificateless aggregate signcryption technique,so as to improve the transmission and verification efficiency of vehicle ciphertext information.The RSU decrypts the verified vehicle ciphertext information,sends the decrypted location information set to the cloud server,and the cloud server counts the real-time traffic density monitoring results according to the road information.The correctness analysis and security proof further demonstrate that this scheme can achieve efficient traffic density monitoring on the premise of preserving vehicle privacy information.This thesis designs and implements a privacy-preserving location-based traffic density monitoring system,which effectively preserves the location privacy of vehicles and provides road traffic density query service for users.This thesis focuses on describing the general architecture of the traffic density monitoring system and the hierarchical structure of each layer,and carries out the detailed design of the main modules of the system,and accomplishes the configuration of the system development environment in order to realize the functions of each module of the system.Finally,a performance analysis of the system is conducted to compare this scheme with other existing schemes and to test the performance of the system.The results show that this system has the advantages of low computational overhead and better overall performance while effectively preserving the security of vehicle privacy information,further indicating that the system has practical application value.