Multi-user Collaborative Privacy Protection Scheme For Internet Of Vehicles

The emergence of new technologies such as 5G,big data,and blockchain has provided a huge impetus for technological change in the transportation sector,prompting the Internet of Vehicles(Io V)to rapidly realize dynamic data interaction between “people-vehicles-roadsclouds”.It has a broad application prospect in relieving traffic congestion and improving road safety.Nevertheless,the Io V in an open network environment poses a great threat to the privacy and security of users.The main reason for this is that Io V combined with new generation mobile communication technologies inherits the privacy security risks that exist in that mobile communication technology,such as message tampering and forgery.In this regard,this paper studies and analyzes the privacy protection scheme of Io V with multiple users from the privacy security location service of Io V,and achieves two main results as follows.1.The existing Io V privacy protection schemes based on homomorphic encryption and group signatures are studied and analyzed,and it is found that their “one-to-one”communication mode has certain limitations in the dynamic and scalable Io V,and requires large computation and communication overhead.In this regard,an Io V privacy protection scheme based on attribute agent re-encryption is proposed.The scheme provides users with a finegrained way of privacy protection to share location services with the rest of the users and introduces a proxy re-encryption mechanism to reduce the computational overhead of users in decryption.Experimental analysis shows that the computational overhead of this scheme at user decryption does not vary with the number of user attributes,which is about 0.0140 s.2.The study analyzes existing Io V privacy protection schemes based on k-anonymity and cryptography and finds that they are inadequate in terms of user privacy security and device resource consumption.In response,a collaborative service-based Io V privacy protection scheme is proposed.In this scheme,each user initiates a location-based service query by generating an index of the set of location points.In addition,to avoid privacy security threats caused by redundant location-based services,the scheme proposes a repeatability test.Experimental analysis shows that the communication overhead of the location-based service query in this scheme is about 1.39 KBytes and the index pairing efficiency of the collaborative service based on the index is about 0.2146 s,both of which have certain advantages.