Privacy protection system and method for Internet of Vehicles

Abstract

The present invention provides a privacy protection system and method for the Internet of Vehicles. Implementation of the method requires the following modules: an encryption region discovery module, a renaming interval calculation module, and a pseudonym changing implementation module. The method comprises: firstly, defining user interest points on a road network, discovering a place where interest points are dense by performing clustering analysis on the interest points on the road network by means of a machine learning cluster according to a current road network condition in conjunction with data mining knowledge, and using the region as an encryption region of vehicle renaming; collecting and parameterizing location privacy protection needs of an owner of a vehicle and a driving destination of the vehicle, calculating a renaming interval that meets user needs by means of a statistical function, and using the interval as a criterion for determining whether to assign a pseudonym to the vehicle; and finally, assigning the pseudonym to the vehicle meeting the renaming criterion in the encryption region to achieve location privacy protection of the vehicle. The method of the present invention provides personalized privacy protection for vehicle owners, and reduces the probability of success of an attacker in stealing privacy of the vehicle owners.

Description

technical field [0001] The invention belongs to the field of computer security, and relates to a location privacy protection technology in the Internet of Vehicles environment, in particular to a privacy protection system and method in the Internet of Vehicles. Background technique [0002] With the continuous development of mobile communication technology, especially with the popularization and application of 4G and 5G technology, today's mobile communication and IT technology will gradually be applied to the automotive industry. As the mainstream of today's automotive electronics development, the Internet of Vehicles is gradually gaining the attention of researchers and is regarded as an important link in the construction of smart cities. However, as vehicles are connected to the Internet, problems such as privacy leakage and illegal access control will also arise, and user privacy and security issues are particularly prominent. In the Internet of Vehicles environment, ac...

AI Technical Summary

Problems solved by technology

The method based on the mixed zone model can basically realize the protection of vehicle location privacy, but it limits the communication of the vehicle during the period and frequently changes the pseudonym of the vehicle

The method based on ε-differential privacy achieves the purpose of protecting privacy by adding noise, but the processing result of sensitive data is insensitive to a single user

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