SGER: Privacy-Preserving Communication in Wireless Networks

无线网络在国家关键信息基础设施中发挥着关键作用。主要由于缺乏受保护的物理边界，无线通信本质上比有线通信更不安全。隐私已被列为无线用户最关心的安全问题。不充分的隐私保护可能导致大量的网络信息检索，从而使攻击者能够执行破坏性的拒绝服务（DoS）攻击，甚至使整个无线网络瘫痪。虽然可以通过内容加密来保证消息的保密性，但在无线网络中提供隐私服务的难度要大得多。事实上，隐私是威胁WSN成功部署的最显著的挑战之一。在本研究中，我们提出设计有效的加密算法和网络安全协议，以实现无线局域网和无线传感器网络的隐私保护通信。更具体地说，我们计划：(i)开发有效的加密算法，即使在本地窃听者存在的情况下，也能实现无条件的隐私保护通信，同时协调通信责任；开发有效的匿名认证方案和协议，用于安全用户访问控制和无线局域网和无线传感器网络中的匿名路由。也就是说，在对每个用户进行身份验证时，用户的真实身份和位置将对攻击者保密。（三）为网络安全通信中隐私性的理论表征和定量测量奠定科学基础。我们的研究预计将对个人隐私、国家关键信息安全以及国土安全产生重大影响。

Wireless networks play a key role in national critical information infrastructure. Mainly due to lack of a protected physical boundary, wireless communications are inherently less secure than its wired counterpart. Privacy has been ranked as the top security concern of wireless users. Inadequate privacy protection can result in significant network information retrieval that enables the adversaries to perform destructive denial-of-service (DoS) attacks, or even paralyze the entire wireless networks. While confidentiality of the message can be ensured through content encryption, it is much more challenging to provide privacy service for wireless networks. In fact, privacy is one of the most notable challenges looming on the horizon that threatens successful deployment of WSN. In this research, we propose to design efficient cryptographic algorithms and network security protocols that can achieve privacy-preserving communications for both MANET and WSN. More specifically, we plan to: (i) Develop efficient cryptographic algorithms that can achieve unconditional privacy-preserving communications even in the presence of local eavesdropper while reconciling communication accountability; (ii) Develop efficient anonymous authentication schemes and protocols for secure user access control and anonymous routing in MANET and WSN. That is, while each user is being authenticated, the user's real identity and location will remain secret for adversaries. (iii) Establish a scientific foundation for theoretical characterization and quantitative measurement of privacy in secure network communications. Our research is expected to have a significant impact on personal privacy, national critical information security as well as homeland security.