隐私保护的参与式感知数据分享与访问方案

Privacy-preserving Data Sharing and Access Control in Participatory Sensing

随着移动设备的发展,参与式感知具有广泛的应用前景。由于参与式感知的用户主体是具有社会属性的人,因此,其面临许多传统传感器网络未曾遇到的问题,用户在采集与共享数据过程中的安全与隐私问题便是其中之一,在用户与用户交互过程中怎样使用户通过单次交易就能获得全部必需的数据,以及在获得全部必需数据的同时如何保证用户的身份隐私和偏好隐私是用户十分关心的问题,也是参与式感知应该解决的问题。首先,通过采用双线性映射和盲签名来保护用户的身份隐私;其次,采用布隆过滤器,使用户通过单次数据交易就能获得全部必需的数据,同时保护用户的偏好隐私不被泄露给匹配失败的数据提供者;最后,通过分析表明了该方案的安全性和可行性。

With the development of mobile devices,participatory sensing has a broad application prospect. As the main users of participatory sensing are persons social attributes, participatory sensing is facing many problems which don＇t encounter in conventional sensor networks. The security and privacy for users to collecte and share data with others are one of the most important issues. One of the most concerned problems is how to get all the necessary data through sin- gle transaction and how to keep identity privacy and preference privacy for users to get all the necessary data when us- ers interact with others. Meanwhile, if participatory sensing wants to be developed, the problems should be solved first. The scheme uses bilinear mapping and blind signature to protect the identity privacy of users,and uses bloom filter to make users get all the necessary data through single transaction and protect the preference privacy of users from data providers at the same time if the matching request fails between users and data providers. Finally, performance analysis shows the security and feasibility of proposed scheme.