Privacy Protection Model and Privacy Metric Methods Based on Privacy Preference

Abstract

Abstract: The balance between privacy protection and service quality is an issue remained to be solved.This paper proposed a game metric model based on privacy preference.Firstly,the formal definition of the user’s privacy preference was proposed,and a method of quantifying privacy preference was proposed.On the basis of this,the service provider’s strategy selection based on privacy preference was analyzed and the privacy metric model based on game theory was put forward,the strategy entropy was used to measure the user privacy disclosure under the mixed strategy,which can comprehensively consider user’s privacy preferences on the service provider’s game strategy and effectively measure user’sprivacy leak.Finally,the feasibility was demonstrated through a case.

Key words: Nash equilibrium, Privacy preference, Privacy protection, Strategy entropy

CLC Number:

TP309

ZHANG Pan-pan, PENG Chang-gen, HAO Chen-yan. Privacy Protection Model and Privacy Metric Methods Based on Privacy Preference[J].Computer Science, 2018, 45(6): 130-134.

References

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