Exploration of For-Purpose Decentralized Algorithmic Cyber Attacks in EV Charging Control
Exploration of For-Purpose Decentralized Algorithmic Cyber Attacks in EV Charging Control
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DOI：
10.1109/isie51358.2023.10227968
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发表时间：
2023-03
期刊：
影响因子：
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通讯作者：
Mahan Fakouri Fard;XiangMin Hou;Mingxi Liu
中科院分区：
文献类型：
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作者：
Mahan Fakouri Fard;XiangMin Hou;Mingxi Liu
分布式和分散式多智能体优化(DMAO)算法能够控制大规模的电网边缘资源，如电动汽车(EVS)，以提供电网服务。尽管DMAO具有很大的可扩展性，但它基本上容易受到网络攻击，因为它高度依赖频繁的点对点通信。这方面的现有网络安全研究主要集中在旨在危害整个控制系统的广谱攻击，同时失去实现特定攻击目的的可能性。本文首次探索了由参与代理发起并与DMAO对接以达到自利攻击目的的新型目的算法攻击。将分散的电动汽车充电控制问题描述为一个说明性的用例。设计了具有隐身特征和不具有隐身特征的理论目的攻击向量。通过对电动汽车充电控制的仿真，验证了该算法的实用性和对配电网的影响。
Distributed and decentralized multi-agent optimization (DMAO) algorithms enable the control of large-scale grid-edge resources, such as electric vehicles (EVs), to provide power grid services. Despite its great scalability, DMAO is fundamentally prone to cyber attacks as it is highly dependent on frequent peer-to-peer communications. Existing cyber-security research in this regard mainly focuses on broad-spectrum attacks aiming at jeopardizing the entire control system while losing the possibility of achieving specific attacking purposes. This paper, for the first time, explores novel for-purpose algorithmic attacks that are launched by participating agents and interface with DMAO to achieve self-interest attack purposes. A decentralized EV charging control problem is formulated as an illustrative use case. Theoretical for-purpose attack vectors with and without the stealthy feature are devised. Simulations on EV charging control show the practicability of the proposed algorithmic for-purpose attacks and the impacts of such attacks on distribution networks.