Vulnerability Assessment of Social-Smart Grids: An Algorithmic Approach
Vulnerability Assessment of Social-Smart Grids: An Algorithmic Approach
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DOI：
10.1109/globecom38437.2019.9014195
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发表时间：
2019-12
期刊：
影响因子：
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通讯作者：
Lan N. Nguyen;J. D. Smith;M. Thai
中科院分区：
文献类型：
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作者：
Lan N. Nguyen;J. D. Smith;M. Thai
公用事业供应商正在逐步部署社交网络，作为智能电网的有用补充，以帮助消费者参与能源管理和有效使用。除了好处之外，智能电网有什么负面影响吗？在本文中，我们研究了智能电网集成到社交网络时的脆弱性，攻击者利用社交网络中的错误信息传播来改变电力客户的行为，目的是造成电力基础设施的退化。站在电力设施管理者和对手两个角度，建立了优化问题下系统脆弱性评估模型，为基于复杂性理论的系统脆弱性分析和行为研究提供了理论依据。由于解决这个问题具有挑战性，我们提出了启发式解决方案，并展示了它们在存在错误信息攻击时评估系统脆弱性的效率。因此，我们得出结论，在开发支持社交的智能电网技术的安全模型和规划缓解技术时，必须考虑错误信息攻击。
Utility providers are gradually deploying social networks as a useful addition to the Smart Grid in order to help engage consumers in energy management and efficient usage. Besides its benefits, is there any negative impact to the Smart Grid? In this paper, we investigate the vulnerability of Smart Grid when integrating into social networks, where attackers utilize misinformation propagation in social network to alter electricity customer's behavior with the goal of causing degradation to power infrastructure. Stand in both perspectives of power facility administrator and adversary, we model the vulnerability assessment of the system under an optimization problem, which enables us to provide theoretical analysis and behavior investigation of the system based on the complexity theory. As solving the problem is challenging, we propose heuristic solutions and show their efficiency on assessing the system's vulnerability in the presence of misinformation attacks. Therefore, we conclude that misinformation attacks must be considered when developing the security model for Socially-enabled Smart Grid technology and planning mitigation techniques.