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Taxonomy of Attacks for Agent-Based Smart Grids

机译:基于代理的智能电网的攻击分类

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Being the most important critical infrastructure in Cyber-Physical Systems (CPSs), a smart grid exhibits the complicated nature of large scale, distributed, and dynamic environment. Taxonomy of attacks is an effective tool in systematically classifying attacks and it has been placed as a top research topic in CPS by a National Science Foundation (NSG) Workshop. Most existing taxonomy of attacks in CPS are inadequate in addressing the tight coupling of cyber-physical process or/and lack systematical construction. This paper attempts to introduce taxonomy of attacks of agent-based smart grids as an effective tool to provide a structured framework. The proposed idea of introducing the structure of space-time and information flow direction, security feature, and cyber-physical causality is innovative, and it can establish a taxonomy design mechanism that can systematically construct the taxonomy of cyber attacks, which could have a potential impact on the normal operation of the agent-based smart grids. Based on the cyber-physical relationship revealed in the taxonomy, a concrete physical process based cyber attack detection scheme has been proposed. A numerical illustrative example has been provided to validate the proposed physical process based cyber detection scheme.
机译:作为网络物理系统(CPS)中最重要的关键基础架构,智能电网展现了大规模,分布式和动态环境的复杂性。攻击分类法是对攻击进行系统分类的有效工具,已被美国国家科学基金会(NSG)研讨会列为CPS的首要研究主题。 CPS中大多数现有的攻击分类法都不足以解决网络物理过程的紧密耦合或/和缺乏系统的构建。本文试图介绍基于代理的智能电网攻击的分类法,作为提供结构化框架的有效工具。引入时空和信息流方向的结构,安全特征和网络物理因果关系的提议思想是创新的,它可以建立一个分类学设计机制,该系统可以系统地构建网络攻击的分类学,从而可能对基于代理的智能电网正常运行的影响。基于分类学中揭示的网络物理关系,提出了一种基于物理过程的具体网络攻击检测方案。提供了一个数字说明性示例来验证所提出的基于物理过程的网络检测方案。

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