Collaborative Research: Trustworthy and Resilient Location Discovery in Wireless Sensor Networks

Ning Peng, North Carolina State University, wenliang Kevin Du, Syracuse University .摘要传感器网络是健康监测和军事行动等广泛应用的理想选择。传感器的位置在许多传感器网络应用中起着至关重要的作用。在过去，传感器网络的位置发现已经取得了实质性的进展。然而，在恶劣环境中的位置发现往往被忽视。由于缺乏预防、检测或抵御恶意攻击的解决方案，所有现有的位置发现协议在敌对环境中都变得脆弱。该项目的目标是开发一套全面的技术，以防止、检测或幸存针对传感器网络位置发现的恶意攻击。研究人员正在研究适合于认证信标消息的密钥管理方案，探索使现有位置发现方案更具弹性的技术，寻求使用部署知识而不是信标节点的无信标位置发现，最后研究集成所提出技术的方法，以便它们能够经济有效地组合用于传感器网络应用。该项目将对传感器网络研究产生重大影响，提供可与当前正在开发的传感器网络技术集成的具体技术解决方案，从而使传感器网络应用的开发具有固有的内置安全性。

Collaborative Research: Trustworthy and Resilient Location Discovery in Wireless Sensor Networks Peng Ning, North Carolina State UniversityWenliang Kevin Du, Syracuse University Award 0430223AbstractSensor networks are ideal candidates for a wide range of applications such as health monitoring and military operations. Sensors' locations play a critical role in numerous sensor network applications. There have been substantial advances in location discovery for sensor networks in the past. However, location discovery in hostile environments has been mostly overlooked. Due to the lack of solutions to prevent, detect, or survive malicious attacks, all of the existing location discovery protocols become vulnerable in hostile environments.The objective of this project is to develop a comprehensive suite of techniques to prevent, detect, or survive malicious attacks against location discovery in sensor networks. The investigators are studying key management schemes suitable for authenticating beacon messages, exploring techniques to make existing location discovery schemes more resilient, seeking beaconless location discovery that uses deployment knowledge instead of beacon nodes, and finally investigating methods to integrate the proposed techniques so that they can be combined cost-effectively for sensor network applications. This project will have significant impact on the sensor network research by providing specific technical solutions that can be integrated with the sensor network techniques currently being developed, so that sensor network applications are developed with inherent, built-in security.