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The Newcastle University research output collection, currently available on ePrints, will shortly be moving to a new open repository platform, Figshare. To prepare for the data migration we have paused adding new content to ePrints, and will resume once the new repository is launched. During this time you will continue to have access to ePrints (but no new content will appear). We will share updates here when available.

Detecting false data injection attacks using Machine Learning-Based approaches for smart grid networks

Lookup NU author(s): Dr Naayagi Ramasamy

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Publication metadata

Author(s): Abudin MJ, Thokchom S, Naayagi RT, Panda G

Publication type: Article

Publication status: Published

Journal: Applied Sciences

Year: 2024

Volume: 14

Issue: 11

Print publication date: 31/05/2024

Online publication date: 31/05/2024

Acceptance date: 31/05/2023

Date deposited: 11/12/2024

ISSN (electronic): 2076-3417

Publisher: MDPI

URL: https://doi.org/10.3390/app14114764

DOI: 10.3390/app14114764

Data Access Statement: The dataset used in our article was generated from our laboratory for the study purpose


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