基于多客户端功能加密的移动群智感知系统去中心化隐私保护真相发现OA

In recent years,mobile crowd-sensing systems have attracted a great deal of attention.Unfortunately,it is challenging to obtain accurate and truthful values due to the inaccuracy of the data collected from individual users.Truth discovery,a method for identifying the true value among data from a large number of users,has gained popularity.However,existing truth discovery algorithms often exhibit drawbacks,such as the lack of protection for users'privacy data and the need for two or more platforms to complete the process.In addition,the efficiency of these algorithms remains a concern.To address these issues,we propose a new framework called Truth Discovery for Crowd-Sensing Systems Under Distributed Functional Encryption.Our proposal not only employs a single platform but also achieves good efficiency and privacy protection through elliptic-curve cryptography and inner product operations.To demonstrate these advantages,we compare our framework with the Cloud-Enabled Privacy-Preserving Truth Discovery framework.The experimental results show that the efficiency of our framework is better than the cloud-enabled PPTD,it can increase the server time cost by about 1000%and the worker time cost by 100%.