MOAEOSCA: an enhanced multi-objective hybrid artificial ecosystem-based optimization with sine cosine algorithm for feature selection in botnet detection in IoT
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-022-13836-6.pdf
Reference80 articles.
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3. Al Shorman A, Faris H, Aljarah I (2020) Unsupervised intelligent system based on one class support vector machine and Grey wolf optimization for IoT botnet detection. J Ambient Intell Humaniz Comput 11(7):2809–2825
4. Aladeemy M, … Poranki S (2020) New feature selection methods based on opposition-based learning and self-adaptive cohort intelligence for predicting patient no-shows. Appl Soft Comput 86:105866
5. Al-Kasassbeh M et al. Detection of IoT-botnet attacks using fuzzy rule interpolation. J Intell Fuzzy Syst (Preprint). : 1–11
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