Smart grid cyberattack types classification: A fine tree bagging-based ensemble learning approach with feature selection

Author:

Ijeh V.O.,Morsi W.G.

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Elsevier BV

Reference38 articles.

1. R. Dove, Protecting our energy infrastructure from cyber security exploitation, 2020. [Online] Available: 〈https://radove.medium.com/protecting-our-energy-infrastructure-from-cyber-security-exploitation-4f90cd9c49ec〉.

2. The Stuxnet Computer Worm: Harbinger of an Emerging Warfare Capability;Kerr,2010

3. Cyber attack on Saudi Aramco;Alshathry;Int. J. Manag. Inf. Technol.,2017

4. Gradient boosting feature selection with machine learning classifiers for instruction detection on power grids;Upadhyay;IEEE Trans. Netw. Serv. Manag.,2021

5. Matthew Lapierre, Pro-Russian group claims responsibility for cyberattack against Hydro-Québec, 2023. [Online]. Available: 〈https://www.cbc.ca/news/canada/montreal/hydro-quebec-website-cyberattack-1.6808947〉.

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