Detection of false data injection attacks in smart grid: a secure federated deep learning approach

• Main Authors: Li, Yang, Wei, Xinhao, Li, Yuanzheng, Dong, Zhaoyang, Shahidehpour, Mohammad
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Electrical and electronic engineering; Secure Federated Learning; Data Injection Attack
• Online Access: https://hdl.handle.net/10356/163148
• Institution: Nanyang Technological University

As an important cyber-physical system (CPS), smart grid is highly vulnerable to cyber attacks. Amongst various types of attacks, false data injection attack (FDIA) proves to be one of the top-priority cyber-related issues and has received increasing attention in recent years. However, so far little...