Adversary dynamics and smart grid security: A multiagent system approach

Aunshul Rege, F. Ferrese, S. Biswas, Li Bai
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引用次数: 5

Abstract

Power grid is the backbone of infrastructures that drive the US economy and security, which makes it a prime target of cybercriminals or state-sponsored terrorists, and warrants special attention for its protection. Commonly used approaches to smart grid security are usually based on various mathematical tools, and ignore the human behavior component of cybercriminals. This paper introduces a new dimension to the cyberphysical system architecture, namely human behavior, and presents a modified CPS framework, consisting of a. cyber system: SCADA control system and related protocols, b. physical system: power grid infrastructure, c. the adversary: cybercriminals, and d. the defender: system operators and engineers. Based on interviews of ethical hackers, this paper presents an adversary-centric method that uses adversary's decision tree along with control theoretic tools to develop defense strategies against cyberattacks on power grid.
对手动态与智能电网安全:多智能体系统方法
电网是推动美国经济和安全的基础设施的支柱,这使其成为网络犯罪分子或国家支持的恐怖分子的主要目标,需要特别关注其保护。常用的智能电网安全方法通常基于各种数学工具,而忽略了网络犯罪分子的人类行为成分。本文引入了网络物理系统架构的一个新维度,即人的行为,并提出了一个改进的CPS框架,该框架由网络系统:SCADA控制系统及其相关协议,物理系统:电网基础设施,攻击者:网络罪犯,防御者:系统操作员和工程师组成。本文基于对道德黑客的访谈,提出了一种以对手为中心的方法,利用对手的决策树和控制理论工具来制定针对电网网络攻击的防御策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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