传感器技术和移动通信设备的发展使位置服务(LBS)得到广泛应用。与此同时,在服务过程中所产生的隐私问题也成为关注的焦点。为此,针对LBS位置隐私的保护问题,构造一个用户协作的分布式模型,并设计一种新的隐私保护方案。在构建匿名区时,使用贝叶斯Nash均衡思想以及安全多方求和技术以保证用户信息的隐私。在处理查询结果时,引入Voronoi图的方法以提高查询效率。分析结果表明,该方案考虑了用户节点自私和不可信的情况,并且简化了查询过程,在保护隐私的同时可提高服务的整体性能。
With the development of sensor technology and mobile communication equipments,there appears Location-based Service(LBS),which is widely used.However,privacy issues,which arise in the enjoyment of the services at the same time,are becoming the focus of research.For privacy protection issues in LBS,this paper proposes a distributed model with users' cooperation and designs a new privacy protection scheme.In this scheme,when constructing the anonymous area,it uses Bayesian Nash equilibrium and secure multiparty summation technologies to ensure the user information privacy.When processing the query results,it introduces the Voronoi map method to increase the query efficiency.Analysis experimental result shows that the proposed scheme gives full consideration to the selfishness and unreliability of users.Hence it not only can provide the protection of user privacy,but also can improve the performance of the services.