Intelligent network connection vehicle data privacy protection system and method independent of trusted party

Abstract

The invention belongs to the technical field of intelligent network connection vehicle information security and discloses an intelligent connected vehicle data privacy protection system and method independent of a trusted party, and the system comprises a vehicle-mounted privacy protection system which is used for collecting a vehicle safety alarm message, carrying out the calculation formatting,forming a privacy source data structure, carrying out the disturbance processing locally, and hiding the original data information, and forming disturbance privacy data; and the intelligent network connection vehicle data center collects a large amount of disturbance privacy data and carries out statistics and analysis so as to support subsequent intelligent service and safety early warning requirements. The local vehicle safety data is uploaded after statistics and disturbance, so that the incidence relation between the original data is eliminated, and the problem of privacy leakage caused bydeep association in mass data is avoided. The one-time communication transmission amount is extremely small, millisecond-level communication can be completed, and the method is suitable for vehiclesmoving at a high speed. The disturbed data is collected by the communication center and the data center, so that the problem of privacy leakage of the existing communication line and collector is avoided.

Description

technical field [0001] The invention belongs to the technical field of intelligent networked vehicle information security, and in particular relates to an intelligent networked vehicle data privacy protection system and method that does not rely on a trusted party. Background technique [0002] Currently, the closest prior art: [0003] With the continuous improvement of intelligent and connected cars, the risk of data privacy leakage of intelligent connected cars is also rapidly increasing. For example, the driving behavior data of the driver, the geographic location data of the vehicle, and the application data of the vehicle APP are all collected by third parties or telematics service providers (Telematics Service Provider: TSP) to varying degrees. Although the collectors all claim to protect the privacy of vehicle data, the level of security technology of the collectors themselves, whether the collectors themselves will abuse user data, and the leakage of data during up...

AI Technical Summary

Problems solved by technology

However, with the increase in the number of vehicles, the consumption of pseudonym replacement has increased sharply, which is unbearable;

[0008] 3) Group signature technology, whose identity revocation cost problem has not been solved, is not suitable for intelligent networked vehicles with member changes

And in actual scenarios, the RSU deployed on the roadside may be invaded and controlled, and the risk is uncontrollable

[0009] 4) Most applications of the K-anonymity scheme are based on the premise of the existence of a third-party trusted organization, and are prone to single-point failure

According to the survey data, about 70% of the respondents said that if the privacy of the data cannot be protected, they are unwilling to provide vehicle data, and users do not trust the so-called trusted parties enough

However, if users do not provide data, intelligent analysis, applications and services based on data will not be possible, which greatly restricts the promotion and development of intelligent networked vehicles.

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