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

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

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...

Бүрэн тодорхойлолт

Номзүйн дэлгэрэнгүй
Үндсэн зохиолчид:	Li, Yang, Wei, Xinhao, Li, Yuanzheng, Dong, Zhaoyang, Shahidehpour, Mohammad
Бусад зохиолчид:	School of Electrical and Electronic Engineering
Формат:	Journal Article
Хэл сонгох:	English
Хэвлэсэн:	2022
Нөхцлүүд:	Engineering::Electrical and electronic engineering Secure Federated Learning Data Injection Attack
Онлайн хандалт:	https://hdl.handle.net/10356/163148

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