Collaborative Research: NeTS:WN : Coping with Jamming Attacks in Ad hoc / Mesh Networks

合作研究：NeTS:WN：应对自组网/网状网络中的干扰攻击

• 批准号: 0721941
• 负责人: Srikanth Krishnamurthy
• 金额: $ 15万
• 依托单位: University of California-Riverside
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-01 至 2012-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0721941&HistoricalAwards=false
• 关键词: Collaborative; Research; NeTS; WN; Coping

Prevention of jamming attacks is critical to the successful deployment of ad hoc or mesh networks. The objective of this project is to consider the problem of jamming in a holistic way and design a framework towards coping with these attacks. The framework will unify the functionalities of deterring, detecting, and alleviating the effects of jamming. Unlike previous efforts this research will (a) exploit physical layer capabilities such as the tunability of power/rate and the use of smart antennas to cope with jamming and (b) design solutions that are based on strong experimental foundation. Furthermore, the design will seek to address jamming attacks by not only external adversaries but also internally compromised nodes that send large volumes of seemingly legitimate data. The project will encompass the following tasks: (i) Extensive experiments to understand the impact of jamming and identification of behavioral traits during a jamming attack. (ii) Design of methods to obfuscate traffic patterns such that the jammer will be unable to target important nodes or locations in the network (iii) Use of the experimental knowhow in the design of the framework for detecting jamming attacks and (iv) Exploiting physical layer capabilities such as rate/power and smart antennas to cope with attacks. This research is expected to broadly impact successful future deployments of vehicular and municipal ad hoc/mesh networks. It will also be tightly knit with educational programs that will augment wireless teaching laboratories and introduce cross-disciplinary courses that bridge the physical and higher layers.

预防干扰攻击对于成功部署自组织或网状网络至关重要。该项目的目标是从整体上考虑干扰问题，并设计一个应对这些攻击的框架。该框架将统一阻止、检测和减轻干扰影响的功能。与之前的工作不同，这项研究将（a）利用物理层功能，例如功率/速率的可调性和使用智能天线来应对干扰，以及（b）基于强大实验基础的设计解决方案。此外，该设计将寻求解决不仅来自外部对手的干扰攻击，还包括发送大量看似合法数据的内部受损节点的干扰攻击。该项目将包括以下任务：（i）进行广泛的实验，以了解干扰的影响并识别干扰攻击期间的行为特征。 (ii) 设计混淆流量模式的方法，使干扰器无法瞄准网络中的重要节点或位置 (iii) 在检测干扰攻击的框架设计中使用实验知识，以及 (iv) 利用速率/功率和智能天线等物理层功能来应对攻击。这项研究预计将对未来车辆和市政自组织/网状网络的成功部署产生广泛影响。它还将与教育计划紧密结合，增强无线教学实验室，并引入跨学科课程，连接物理层和更高层。