Research And Design On Privacy Preserving Strategy Based On Group Utility Maximization Game

As an important task in information security,privacy preserving has always been concerned by scholars.However,traditional privacy preserving mechanisms cannot adapt to the environment of high-speed data exchange or high-speed nodes' moving.Therefore,this paper focuses on privacy preserving and its related technologies,and proposes a privacy preserving strategy based on group utility maximization game.The existing privacy preserving mechanism thinks that the servers and authority centers are completely trusted,but in practical applications,the servers and authority centers are not fully trusted,and they have the possibility of being attacked.Considering this a cooperative privacy preserving mechanism is proposed,in which all neighbors and social friends cooperate with each other.Each node preserves not only its own privacy,but also the privacy of other nodes that have cooperative relationship with itself.What's more,comparing with the mechanism which takes only physical factors into account,the simulation results show that in these two scenarios,the privacy preserving mechanism proposed in this paper reduces the privacy disclosure by 20%and 25%.The main work of this paper is as follows:1.The first research is Location-based Service(LBS)privacy preserving strategy based on group utility maximization game.First of all,quantify the privacy disclosure and establish the cyber-physical-social(CPS)aware privacy utility maximization(CPUM)game.Secondly,use potential game to find the Nash equilibrium in CPUM game.Finally,comparing with the mechanism which takes only physical factors into account,the simulation results show that the CPUM mechanism reduces the privacy disclosure by 20%.2.The second research is the distributed authentication mechanism based on blockchain.Firstly,aiming at the problem that existing distributed authentication mechanism still establishes on the centralized trusted center,a distributed authentication mechanism based on blockchain is proposed.In the authentication mechanism,the data record is not stored on one or several centralized vehicles,but on every vehicle involved in data transaction.In addition,all vehicles'interaction completed on blockchain,which can greatly reduce the privacy disclosure caused by interaction.What's more,the experimental data in Ethereum proves the feasibility of the distributed authentication based on blockchain.3.The third research is the selection of multi Certification Authority(CA)based on group utility maximization game in vehicular networking.There are many hidden dangers in the traditional authentication mode of vehicular networking,so this paper introduces the multi CA cooperation mode,in which each vehicle may choose to become a CA or certify to any of the CAs.In the strategy selection process,we establish the game model,and construct social group utility maximization(SGUM)game.Then design the privacy preserving strategy according to the SGUM game.Finally,the simulation results show that comparing with the mechanism which takes only physical factors into account,the SGUM mechanism reduces the privacy disclosure by 25%.And comparing with the mechanism which choose strategy randomly,the SGUM mechanism reduces the privacy disclosure by 43%.