Internet-of-vehicles location privacy protection scheme based on mixing zone

Abstract

The invention belongs to the field of computer applications, and provides an Internet-of-vehicles location privacy protection scheme based on a mixing zone. According to the invention, a random silence zone is set at the periphery of the mixing zone, vehicles randomly change the communication status according to a silence strategy in the random silence zone, and meanwhile, the location privacy canalso be further enhanced by being matched with a cooperative silence strategy. The scheme of the invention improves the privacy protection effect of the vehicles by using the limitations of the existing vehicle tracking method. On the one hand, the difficulty of vehicle tracking performed by an attacker according to a time prediction method is increased by means of increasing the randomness of the silence location; and on the other hand, the vehicles can select to automatically trigger a cooperative silence behavior under an appropriate condition by the aid of mutual cooperation between the vehicles, thereby increasing the difficulty of implementing tracking by using a trajectory tracking technology, and thus effectively protecting the location privacy of the vehicles.

Description

technical field [0001] The invention belongs to the field of computer applications, and relates to a location privacy protection scheme for Internet of Vehicles based on a mixed area. Background technique [0002] In the field of Internet of Vehicles security and privacy, vehicle location privacy protection technology is a basic and important technology. In recent years, hybrid zones (hybrid zones, such as attached figure 1 The gray circular area in ) technology has received widespread attention. This technology sets a specific area (usually a circular area) as a radio silent area, and all vehicles entering this area stop broadcasting messages containing location privacy. (or called beacons, beacons, which are messages regularly broadcast by vehicles in the Internet of Vehicles, which contain information such as the vehicle's pseudonym, location, speed, driving direction, and time stamp), making it difficult for trackers to track vehicles passing through the area Keep trac...

AI Technical Summary

Problems solved by technology

[0004] At present, with the continuous development of vehicle tracking technology, the overall tracking rate of the vehicle tracker trained by artificial neural network on the traditional mixed area has reached a high level, and even reached a high level on the vehicle network security simulator Vanet-Sim. With an overall tracking rate of 50%, it seriously threatens the location privacy of vehicles

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