Privacy protection method of unmanned automobile

Abstract

The invention discloses a privacy protection method of an unmanned automobile, which mainly solves the problem of privacy leakage caused by the fact that participant identity information is not hiddenand the problem of single point failure of a centralized server in the prior art; the method comprises the following implementation steps: 1, a system is initialized and public parameters are generated; 2, participants in a network generate respective public keys and private keys; 3, the system dynamically divides nodes in the network into clusters; 4, a software service provider uploads a driveupdate package to cloud storage; 5, the software service provider generates a transaction and sends the transaction to the cluster head; 6, the cluster head and an automobile manufacturer verify the drive update package; 7, the cluster head broadcasts the transaction with successful verification, and a new block is generated and connected to a block chain; 8, the unmanned automobile obtains the drive update package according to the new block information and carries out update. According to the method, reliable privacy protection is provided for the participants, malicious participants are prevented from tampering with messages, and safety of the system is improved.

Description

technical field [0001] The invention belongs to the technical field of information security, and in particular relates to a privacy protection method, which can be used in unmanned vehicles. Background technique [0002] With the development of Internet of Things technology, modern society is gradually moving from the era of "Internet +" to the era of "Smart +", and its applications cover many fields such as driverless cars, smart homes, smart transportation, and smart grids. Among them, research on driverless cars is gaining momentum. It is expected that by 2021, driverless cars will enter the market, opening a new stage. Although unmanned driving can save manpower, the public also has safety concerns. For example, when human-driven cars and driverless cars coexist, whether the two can safely interact; driverless cars collect user data for prediction and analysis, and whether the personal information of these users will be leaked; Whether there is a sufficiently secure a...

AI Technical Summary

Problems solved by technology

There are two shortcomings of this method: one is that the identity information of the car owner is not hidden, resulting in privacy leakage; the other is tha

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