Detecting Cyber-Attacks and Power System Disturbances in Smart Grids with Deep Forest
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-40579-2_15
Reference17 articles.
1. Cai, L., Thornhill, N.F., Kuenzel, S., Pal, B.C.: Real-time detection of power system disturbances based on $$ k $$-nearest neighbor analysis. IEEE Access 5, 5631–5639 (2017)
2. Chu, Y., et al.: DTI-CDF: a cascade deep forest model towards the prediction of drug-target interactions based on hybrid features. Brief. Bioinform. 22(1), 451–462 (2021)
3. Dileep, G.: A survey on smart grid technologies and applications. Renew. Energy 146, 2589–2625 (2020)
4. Fang, X., Misra, S., Xue, G., Yang, D.: Smart grid-the new and improved power grid: a survey. IEEE Commun. Surv. Tutor. 14(4), 944–980 (2011)
5. Gungor, V.C., et al.: Smart grid technologies: communication technologies and standards. IEEE Trans. Ind. Inf. 7(4), 529–539 (2011)
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1. Exploration of Ensemble Methods for Cyber Attack Detection in Cyber-Physical Systems;IFIP Advances in Information and Communication Technology;2024
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