With the rapid development of information and communication technologies (ICTs), the conventional electrical grid is evolving towards an intelligent smart grid. Due to the complexity, how to protect the security of smart grid environments still remains a practical challenge. Currently, collaborative intrusion detection systems (CIDSs) are one important solution to help identify various security threats, through allowing various IDS nodes to exchange data and information. However, with the increasing adoption of ICT in smart grid, cloud computing is often deployed in order to reduce the storage burden locally. However, due to the distance between grid and cloud, it is critical for smart grid to ensure the timely response to any accidents. In this work, we review existing collaborative detection mechanisms and introduce a fog‐based CIDS framework to enhance the detection efficiency. The results show that our approach can improved the detection efficiency by around 21% to 45% based on the concrete attacking scenarios.

中文翻译：

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基于雾的智能电网协同入侵检测框架

随着信息和通信技术（ICT）的飞速发展，常规电网正在向智能智能电网发展。由于复杂性，如何保护智能电网环境的安全性仍然是一个实际的挑战。当前，协作入侵检测系统（CIDS）是一种重要的解决方案，它通过允许各种IDS节点交换数据和信息来帮助识别各种安全威胁。但是，随着智能电网中ICT的日益普及，通常会部署云计算以减轻本地的存储负担。但是，由于网格和云之间的距离，确保智能电网对任何事故的及时响应至关重要。在这项工作中，我们回顾了现有的协作检测机制，并引入了基于雾的CIDS框架以提高检测效率。结果表明，根据具体的攻击场景，我们的方法可以将检测效率提高21％到45％。