On-line Detection of Malicious Activities Based on Edge Computing in Micro-grid System. (September 2020)

• Record Type: Journal Article
• Authors: Lei, Wenxin; Xu, Aidong; Lin, Haojie; Hou, Wenjing; Zhang, Yunan; Jiang, Yixin; Mao, Zhongqi; Wen, Hong
• Is Part Of: Journal of physics. Volume 1646(2020)
• Publication Date: 2020-09
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1646/1/012131
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: With the continuous deployment of smart grids, various new smart technologies applied to the power grids have emerged, and the security boundaries of the power systems have gradually blurred, so that the power security protection measures urgently need to be updated. Aiming at the smart micro-grid system based on edge computing, this paper introduces a non-intrusive load monitoring (NILM) method, combined with the advantages of edge computing, and designs an online detection mechanism for malicious activities of terminal devices. This method is dedicated to achieving device-level security assurance.