移动群智感知中基于雾节点协作的感知用户身份隐私保护

在移动群智感知中，攻击者可利用感知用户间的社交关联信息以及感知用户身份信息与感知数据的关联性重构感知用户间的社交圈，进一步攻击用户社交团体。针对这一问题，提出一种基于雾节点协作的感知用户身份隐私保护方案。首先，创建任务分配中心（TC）和数据中心（DC），并由位于终端边缘的2个雾节点承载，分别处理感知任务的合理分配问题和感知数据的聚合计算问题；然后，通过差分隐私加噪干扰防御攻击者获取感知用户间具体的社交关联权重；最后，感知用户使用不同的盲身份分别与TC和DC通信，防止攻击者同时获取感知用户的身份信息和感知数据。安全分析表明，所提方案可以确保感知用户在完成感知任务过程中的身份隐私信息安全。实验结果显示，所提方案可以有效保护感知用户间的社交关联信息，且具有较低的时延。

Fog-aided identity privacy protection scheme for sensing users in mobile crowd sensing

In mobile crowd sensing(MCS),attackers can reconstruct the social circle among sensing users,who use the social association information among sensing users and the correlation between the sensing user’s identity and sensing data to further attack a social alliance.In order to tackle this issue,a fog-aided identity privacy protection scheme is proposed.Firstly,two fog nodes are introduced which located at the edge of the sensing terminal.The one is task allocation center (TC) for handling the reasonable allocation of sensing tasks,and the other is data center (DC) for calculating sensing data.Furthermore,differential privacy is employed for preventing attackers from acquiring the specific social association weight of sensing users.Finally,in order to prevent attackers from obtaining the sensing users' identity information and sensing data at the same time,sensing users use different blind identities to communicate with TC and DC.Security analysis indicates that the proposed scheme can ensure the security of identity privacy information of sensing users in the process of completing sensing tasks.Experimental results show that the proposed scheme can protect the social association information between sensing users,and has a low delay.