📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Stealthy MTD Against Unsupervised Learning-Based Blind FDI Attacks in Power Systems (2021)

First Author: Higgins M

Attributed to: JPI Urban Europe/NSFC: Socio-Techno-Economic Pathways for sustainable Urban energy develoPment funded by ESRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1109/tifs.2020.3027148

Publication URI: http://dx.doi.org/10.1109/tifs.2020.3027148

Type: Journal Article/Review

Parent Publication: IEEE Transactions on Information Forensics and Security