False data injection attacks against contingency analysis in power grids: poster
False data injection attacks against contingency analysis in power grids: poster
复制标题
针对电网应急分析的虚假数据注入攻击：海报
DOI：
10.1145/3317549.3326323
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Masum, Rahat
中科院分区：
文献类型：
--
作者：
Rahman, M. Ashiqur;Shahriar, Md Hasan;Masum, Rahat
智能电网通过允许使用物理组件之间的通信网络对系统进行实时监控、协调和控制，从而提供高效和经济的电网管理。由于配置错误或缺乏安全加固，这种固有的复杂性大大增加了智能电网中的漏洞和攻击面。因此，通过主动识别潜在威胁、评估影响和制定经济高效的缓解规划，确保智能电网的安全和弹性运行至关重要。本文旨在通过开发智能电网核心组件能源管理系统（EMS）的高效安全框架来实现这些目标。本文提出了一种将形式分析与PowerWorld仿真器相结合的框架，并对解决模型进行了验证，以研究电网应急分析中假数据注入攻击的可行性。我们通过在标准IEEE测试用例上使用合成数据运行实验来评估此类攻击的影响。
Smart grid provides efficient and cost-effective management of the electric energy grid by allowing real-time monitoring, coordinating, and controlling of the system using communication networks between physical components. This inherent complexity significantly increases the vulnerabilities and attack surface in smart grid due to misconfigurations or the lack of security hardening. Therefore, it is important to ensure secure and resilient operation of smart grid by proactive identification of potential threats, impact assessment, and cost-efficient mitigation planning. This paper aims to achieve these goals through the development of an efficient security framework for the Energy Management System (EMS), a core smart grid component. In this paper, we present a framework that combines formal analytic with PowerWorld simulator which verifies the solution model to investigate the feasibility of false data injection attacks against contingency analysis in power grid. We evaluate the impact of such attacks by running experiments using synthetic data on the standard IEEE test cases.
DOI：
10.5120/ijca2016912382
发表时间：
2016-12
期刊：
International Journal of Computer Applications
影响因子：
--
作者：
Rashid H. Al-Rubayi;Afaneen A. Abood;Mohammed Alhendawi
通讯作者：
Rashid H. Al-Rubayi;Afaneen A. Abood;Mohammed Alhendawi