Practical blacklist-based anonymous authentication scheme for mobile crowd sensing
Practical blacklist-based anonymous authentication scheme for mobile crowd sensing
复制标题
DOI：
10.1007/s12083-015-0329-z
复制
发表时间：
2015-02
影响因子：
4.2
通讯作者：
Hongwei Li;Kun Jia;Haomiao Yang;Dongxiao Liu;Liang Zhou
中科院分区：
文献类型：
--
作者：
Hongwei Li;Kun Jia;Haomiao Yang;Dongxiao Liu;Liang Zhou
移动人群感知 (MCS) 是利用传感和计算设备改善个人生活质量的最有前途的方法之一。 MCS在交通监控、商业广告等各个服务领域发挥着越来越重要的作用。由于传感数据通常对用户敏感，MCS中通信的安全性和隐私性越来越受到学术界和工业界的关注。一些用户担心当他们将自己的数据分享给第三方时，自己的私人信息会被泄露。为了解决这个问题，在本文中，我们提出了一种实用的基于黑名单的匿名认证方案，用户可以享受匿名环境并共享他们的信息，而不必担心任何信息泄露。安全分析表明，我们的方案可以实现匿名性、可列入黑名单、不可否认性和不可链接性。性能评估表明，与现有的工作相比，我们的方案在计算开销方面更加有效。
Mobile crowd sensing (MCS) represents one of the most promising approaches for improving life quality of individuals with sensing and computing devices. MCS is playing a more and more important role in various fields of service, such as traffic monitoring and commercial advertisement. Security and privacy of communication in MCS attract increasing attention from the academia and industry since the sensing data are usually sensitive for users. Some users worry about the leakage of their private information when they share their data to the third parties. To address this issue, in this paper, we propose a practical blacklist-based anonymous authentication scheme in which users can enjoy an anonymous environment and share their information without worrying about any information leakage. Security analysis shows that our scheme can achieve anonymity, blacklistability, nonrepudiation and unlinkability. Performance evaluation demonstrates that our scheme is more efficient in terms of computation overhead compared with the existing works.