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CT-ISG: A Framework for Defending Against Node Compromises in Distributed Sensor Networks

CT-ISG: A Framework for Defending Against Node Compromises in Distributed Sensor Networks
CT-ISG:分布式传感器网络中防御节点泄露的框架
批准号:
0524156
负责人:
Sencun Zhu
金额:
$45.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2005
资助国家:
美国
项目状态:
已结题
起止时间:
2005-08-01 至 2009-07-31

项目摘要

项目成果

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中文摘要
翻译
建议书编号:NSF-0524156TITLE:一种在分布式传感器网络中防御节点泄漏的框架PI:Sencun朱(szhu@cse.psu.edu),Co-Pi:Guohong曹(gcao@cse.psu.edu)由于网络规模大,系统资源高度受限,以及传感器网络经常部署在无人值守和恶劣的环境中,因此无线传感器网络的安全是一个巨大的挑战。该框架由一套跨越三个阶段的安全机制组成:预防、检测和反应。本研究旨在提供基本的安全服务,包括密钥管理、身份验证、泄漏检测和撤销。这些服务对于传感器网络的成功部署至关重要。此外,这项研究寻求以分布式方式设计和实施的解决方案,其中不涉及中央权威。这种分布式特性对于部署在对抗性环境中的无人值守传感器网络至关重要,因为从安全和性能的角度来看,中央管理机构都是单点故障。该项目的成功将产生广泛的影响,使传感器网络更值得信赖,更适合商业、民用和军事应用。该项目的成果通过出版物和讲座传播,并将研究纳入宾夕法尼亚州立大学的计算机科学和工程课程。
英文摘要
Proposal Number: NSF-0524156TITLE: A Framework for Defending against Node Compromises in Distributed Sensor Networks PI: Sencun Zhu (szhu@cse.psu.edu), Co-PI: Guohong Cao (gcao@cse.psu.edu)Securing wireless sensor networks is a significant challenge because of network scale, highly constrained system resources, and the fact thatsensor networks are often deployed in unattended and hostile environments.The objective of this project is to develop a framework for defendingagainst node compromises in unattended sensor networks. The frameworkconsists of a suite of security mechanisms spanning three phases:prevention, detection, and reaction. This research seeks to provide fundamentalsecurity services covering key management, authentication, compromisedetection, and revocation. These services are essential for the successfuldeployment of sensor networks. In addition, the research seeks solutions thatare designed and implemented in a distributed manner, where no centralauthority is involved. This distributed property is critical for unattendedsensor networks deployed in adversarial environments, because a centralauthority is a single point of failure from both security and performanceperspectives. The success of this project will have broad impact, making sensor networks more trustworthy and amenable to commercial, civilian, and military applications. The results of the project are disseminated through publications and talks, and the research is integrated into the computer science and engineering curriculum at Penn State.
期刊论文(0)
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会议论文
TWC: Small: Collaborative: Reputation-Escalation-as-a-Service: Analyses and Defenses
SHF: Small: Towards Obfuscation-Resilient Software Plagiarism Detection
CAREER: Combating Worm Propagation in Emergent Networks
CT-ER: Security and Privacy Solutions for Data-Centric Sensor Networks
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