强隐私保护的移动群智感知方案

为了实现移动群智感知系统中身份隐私、证书撤销和积分激励功能，同时解决恶意用户身份追踪与诚实用户隐私保护之间的矛盾，提出了强隐私保护的移动群智感知方案.基于门限密码思想将身份追踪能力分散到多个实体上，使得多个追踪者合作才能追踪用户身份；将Pointcheval-Sanders签名和基于RSA假设的Camenisch-Lysyanskaya累加器结合起来实现了证书的安全快速撤销；利用Pointcheval-Sanders签名构造了保护隐私的积分激励机制.对该方案进行了安全性分析和实验分析.研究结果表明，该方案不仅满足安全要求，而且在实际应用中具有可行性.

Mobile Crowdsensing Scheme with Strong Privacy-Preserving

To realize the identity privacy, credential revocation, credit incentive features and mediate the contradiction between the identity tracking of malicious users and the privacy protection of honest users in a mobile crowdsensing system, a mobile crowdsensing scheme with strong privacy-preserving is proposed. Based on threshold cryptography, the new scheme distributes the identity tracking capability of anonymous users to multiple entities, which guarantees that multiple trackers can cooperatively reveal the real identity of users. Pointcheval-Sanders signature and Camenisch-Lysyanskaya accumulator based on Rivest-Shamir-Adleman assumption are combined to realize efficient and secure revocation of credentials. The privacy-preserving credit management mechanism is constructed by adopting the Pointcheval-Sanders signature. The security and experimental analysis of the scheme is carried out. The experimental results show that the scheme not only meets the security requirements, but also has feasibility in practical deployment.