群智感知中基于维诺单元的隐私保护方法

现有隐私保护方法多数仅利用匿名机制和加扰混沌方法隐藏用户的身份信息,恶意用户仍能从时空相关感知数据中推断出用户的活动轨迹。为建立混沌区域保障用户隐私并在混沌区域实现数据传输,面向移动群智感知网络提出一种基于维诺单元的隐私保护方法。参与者建立维诺单元,通过单跳或者多跳的方式广播需求,并联合其他参与者构建混沌区域,同时利用混沌区域的参与者代表与感知平台进行数据交互,从而将用户身份信息隐藏于不规则的维诺单元和混沌区域中。实验结果表明,该方法能有效建立不规则的混沌区域,提高了用户隐私保护成功率与效率。

Privacy Protection Method Based on Voronoi Cell in Crowd Sensing

In existing privacy protection methods based on the anonymity mechanism and scrambled chaos,malicious users can still infer the activity trajectory of a user from obtained spatial-temporal sensing data.In order to establish an effective chaotic region to protect user privacy and achieve effective data transmission in the chaotic region,this paper proposes a privacy protection method based on Voronoi cells for mobile crowd sensing network.Users establish Voronoi cells and then a chaotic region with other users.The calculated participant representatives in the chaotic region submit sensing data by using data fusion,so as to hide user privacy in the irregular Voronoi cells and chaotic region.Experimental results show that the method can effectively establish irregular chaotic regions,and improve the success rate and efficiency of privacy protection for users.