基于博弈论的个性化LBS用户位置隐私保护方案

PERSONALIZED LBS USERS LOCATION PRIVACY PROTECTION SCHEME BASED ON GAME THEORY

位置服务系统中,一些重要的位置信息共享会导致严重的个人隐私泄露,使得用户难以享受位置服务。针对用户和第三方的位置共享问题,提出一种基于博弈论的个性化LBS用户位置隐私保护方案。定义用户的位置隐私偏好。基于第三方的历史数据建立信誉机制,并考虑网络环境和信誉等级对第三方诚信请求的影响。通过静态博弈理论分析用户和第三方的不同策略及收益,计算敌手的诚信值并与共享阈值比较,拒绝第三方恶意位置请求并惩罚。分析和实验表明,随着网络环境增强和信誉等级的提升,第三方诚信请求概率逐渐降低。该方案能有效保护用户的位置隐私,激励用户更主动地使用位置服务。

In the location service system,some important location information sharing will lead to serious personal privacy leakage,making it difficult for users to enjoy location services.Aiming at the sharing of location between users and third parties,a personalized LBS users location privacy protection scheme based on game theory is proposed.The users location privacy preferences were defined.A reputation mechanism was established based on the historical data of third parties,and the impact of the network's environment and reputation rating on third-party credibility location requests were considered.The static game theory was used to analyze the different strategies and benefits of users and third-party,the adversary's credibility value was calculated and compared with the sharing threshold,and third-party malicious location requests were rejected and punished.Analysis and experiments show that with the enhancement of the network environment and the improvement of the reputation level,the probability of the third-party credibility request is gradually decreasing.This scheme can effectively protect the users location privacy,and encourage users to use location-based services more actively.