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Security analysis of the Frequency Monitoring Network system and protection mechanisms applicable to general Wide Area Monitoring System environments.

机译:频率监视网络系统的安全性分析和适用于一般广域监视系统环境的保护机制。

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摘要

Reactive and real-time Wide Area Monitoring Systems (WAMS), such as the Frequency Monitoring Network (FNET), provide the ability to monitor and gather frequency information throughout the entire power grid, and are therefore a very important part of the Smart Grid initiative. FNET uses the Internet as a communication medium between its system components, which raises security concerns involving cyber-related issues that must be addressed. A security analysis of the FNET WAMS has been performed for the first time to identify present vulnerabilities and offer mitigation strategies for such vulnerabilities.;A proposal is made that applies a technique known as chaffing and winnowing to provide confidentiality, data integrity, authentication, and non-repudiation to the communications in a sensor network deployed in a WAMS environment. This technique is shown to be capable of providing these protection goals while still maintaining a transmission rate high enough to be used in a close to real-time WAMS.;Although cryptography and authentication techniques may be able to provide a substantial level of security for sensor networks in a WAMS environment, these techniques alone may not be able to sufficiently identify misbehaving nodes that have already managed to join the sensor network. Misbehaving nodes are nodes that have been compromised by an attacker to impersonate legitimate nodes, or nodes with aging or faulty components. In this respect, a novel application of fuzzy logic and a reputation-based trust approach is proposed to identify misbehaving nodes in a sensor network.
机译:诸如频率监视网络(FNET)之类的反应式实时广域监视系统(WAMS)提供了监视和收集整个电网中的频率信息的能力,因此是智能电网计划的重要组成部分。 FNET将Internet用作其系统组件之间的通信介质,这引起了涉及必须解决的与网络相关的问题的安全问题。首次对FNET WAMS进行了安全性分析,以识别当前漏洞并提供针对此类漏洞的缓解策略。;提出了一项提案,该提案采用称为``切屑和风选''的技术来提供机密性,数据完整性,身份验证和不可否认WAMS环境中部署的传感器网络中的通信。事实证明,该技术能够提供这些保护目标,同时仍保持足够高的传输速率以用于近乎实时的WAMS中;尽管加密和认证技术可能能够为传感器提供实质性的安全性在WAMS环境中的网络中,仅这些技术可能无法充分识别已经设法加入传感器网络的行为异常的节点。行为不当的节点是指被攻击者破坏以冒充合法节点或具有老化或故障组件的节点的节点。在这方面,提出了模糊逻辑和基于信誉的信任方法的新颖应用,以识别传感器网络中的异常节点。

著录项

  • 作者

    McDaniel, Joseph Layton.;

  • 作者单位

    Tennessee Technological University.;

  • 授予单位 Tennessee Technological University.;
  • 学科 Computer Science.;Engineering Computer.
  • 学位 M.S.
  • 年度 2011
  • 页码 76 p.
  • 总页数 76
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 地下建筑;
  • 关键词

  • 入库时间 2022-08-17 11:45:01

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