论文标题

电力系统中数据攻击的分类法

A Taxonomy of Data Attacks in Power Systems

论文作者

Basumallik, Sagnik

论文摘要

在宏观经济系统中,所有主要部门:农业,自然资源的提取,制造,建筑,运输,交通,沟通和卫生服务都取决于可靠的电力供应。对电力网络的有针对性攻击会导致行动中断,从而造成巨大的经济和社会损失。当电力系统中的网络网络受到损害时,可以删除和修改时间关键数据,这可能会阻碍实时操作和决策。本文在过去十年中跟踪了电力系统网络安全性研究的进展,并提出了数据攻击的分类法。针对主要操作和控制块的19种不同的攻击模型分为四个领域:稳态控制,瞬态和辅助控制,变电站控制和负载控制。对于每个班级,都会对数学攻击模型进行全面的审查。目的是为网络攻击提供一种理论上平衡的方法及其对电网可靠功能的影响。

In a macro-economic system, all major sectors: agriculture, extraction of natural resources, manufacturing, construction, transport, communication and health services, are dependent on a reliable supply of electricity. Targeted attacks on power networks can lead to disruption in operations, causing significant economic and social losses. When cyber networks in power system are compromised, time-critical data can be dropped and modified, which can impede real time operations and decision making. This paper tracks the progress of research in power system cyber security over the last decade and presents a taxonomy of data attacks. Nineteen different attack models against major operation and control blocks are classified into four areas: steady state control, transient and auxiliary control, substation control and load control. For each class, a comprehensive review of mathematical attack models is presented. The goal is to provide a theoretically balanced approach to cyber attacks and their impacts on the reliable functioning of the electric grid.

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