Position privacy protection method based on game theory and block chain fusion

Abstract

The invention discloses a position privacy protection method based on game theory and blockchain fusion, and the method comprises the following steps: 1, constructing a position manager which has a position information base, and setting an access threshold according to the tolerance degree of the leakage of the position information base; only when the probability of the user integrity is greater than the access threshold, the location manager cooperates with the user integrity; 2, establishing a reputation mechanism which comprises a user reputation value, a reputation level and earnings underdifferent reputation values, defining a strategy set of users and position managers and earnings obtained by the users and the position managers under different strategies based on the game theory, and performing Nash equilibrium derivation according to a game matrix of the users and the position managers to obtain the probability of user integrity; and 3, recording the whole game process by using the block chain, designing a punishment period, carrying out revenue reduction or blacklist pull-in punishment on the users in the punishment period, and constraining the self-profit behaviors of the users. According to the invention, the location privacy of the user can be effectively protected, and the cooperation between the user and the location manager is promoted.

Description

technical field [0001] The invention relates to a location privacy protection method based on the integration of game theory and block chain, which belongs to the field of location privacy protection. Background technique [0002] At present, the research on privacy protection based on location services is relatively mature, but there are still the following problems in this research field: [0003] (1) Most privacy protection research schemes based on location services are discussed on the basis of a trusted third party. However, when a trusted third party is attacked, it will still lead to serious privacy leakage problems. [0004] (2) The location manager sets the access threshold according to the degree of privacy protection. When the probability of user integrity is greater than the access threshold, the data provided by the location manager can be obtained. However, by analyzing the profit matrix of the two, it is found that the game There is no pure strategy Nash eq...

AI Technical Summary

Problems solved by technology

However, when a trusted third party is attacked, it will still lead to serious privacy leakage problems

[0004] (2) The location manager sets the access threshold according to its own privacy protection degree. When the probability of user integrity is greater than the access threshold, the data provided by the location manager can be obtained. There is no pure strategy Nash equilibrium

[0005] (3) During the cooperation process between the user and the location manager, self-interested users will leak the location information provided by the location manager to obtain additional benefits, causing losses to the location manager

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