NeTS: Small: Anti-Jamming Techniques for Secure Communications in Wireless Networks

NetS：小型：无线网络中安全通信的抗干扰技术

• 批准号: 1217206
• 负责人: Tongtong Li
• 金额: $ 38万
• 依托单位: Michigan State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-08-01 至 2018-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1217206&HistoricalAwards=false
• 关键词: NeTS; Small; Anti; Jamming; Techniques

Jamming attack is one of the most commonly used techniques for limiting the effectiveness of an opponent's communication in wireless networks. Along with the advent of user configurable intelligent devices, such as cognitive radios, jamming is no longer limited to military related events, but has become an urgent and serious threat to civilian communications as well. Motivated by this observation, this project is devoted to the development of multi-layer anti-jamming techniques for secure communications over wireless networks. First, we introduce a systematic 2D model for cognitive jamming characterization, detection and classification. We also introduce the concept of disguised jamming, and point out that it can be much more harmful than the traditional strong jamming. Second, we investigate efficient anti-jamming system design for both point-to-point (one-hop) communications and multi-hop communications. For one-hop communications, we enhance jamming resistance by incorporating advanced cryptographic techniques into network-centric spectrum access control and the physical layer transceiver design. For multi-hop communications, we develop efficient and unconditionally secure cryptographic algorithms and protocols to maximize routing diversity and routing anonymity. The proposed highly efficient anti-jamming techniques lay a solid foundation for real-time jamming detection and reliable information transmission under dynamic jamming scenarios. It can greatly improve the efficiency and reliability of high speed wireless services. This project also includes a significant education component aimed at integrating frontier research with undergraduate and graduate curricula. Research results will be presented at international conferences, meetings and published in scientific journals.

干扰攻击是限制无线网络中对手通信有效性的最常用技术之一。随着认知无线电等用户可配置智能设备的出现，干扰不再仅限于军事相关事件，也已成为对民用通信的紧迫而严重的威胁。受这一观察的启发，该项目致力于开发用于无线网络安全通信的多层抗干扰技术。首先，我们介绍一个用于认知干扰表征、检测和分类的系统二维模型。我们还介绍了伪装干扰的概念，并指出它比传统的强干扰危害更大。其次，我们研究了点对点（一跳）通信和多跳通信的有效抗干扰系统设计。对于一跳通信，我们通过将先进的加密技术融入以网络为中心的频谱访问控制和物理层收发器设计中来增强抗干扰能力。对于多跳通信，我们开发高效且无条件安全的加密算法和协议，以最大限度地提高路由多样性和路由匿名性。所提出的高效抗干扰技术为动态干扰场景下的实时干扰检测和可靠的信息传输奠定了坚实的基础。它可以大大提高高速无线服务的效率和可靠性。该项目还包括一个重要的教育部分，旨在将前沿研究与本科生和研究生课程相结合。研究成果将在国际会议上展示并在科学期刊上发表。