Multilayer Framework for Botnet Detection Using Machine Learning Algorithms

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Vydáno v:	IEEE Access Ročník 9; s. 48753 - 48768
Hlavní autoři:	Wan Nur Hidayah Ibrahim, Syahid Anuar, Ali Selamat, Ondrej Krejcar, Ruben Gonzalez Crespo, Enrique Herrera-Viedma, Hamido Fujita
Médium:	Journal Article
Jazyk:	japonština
Vydáno:	Institute of Electrical and Electronics Engineers (IEEE) 01.01.2021
Témata:	Artificial intelligence Behavior-based analysis Botnet Botnet Detection Characterization and Detection of Android Malware Command and control Computer network Computer Networks and Communications Computer science Computer security Denial-of-service attack Detection Electrical engineering. Electronics. Nuclear engineering flow-based feature selection Hacker Header Intrusion Detection K-nearest neighbor Machine learning Machine Learning for Internet Traffic Classification Malware Network Intrusion Detection and Defense Mechanisms Network packet Network security Operating system Physical Sciences Signal Processing structure independent Telecommunications The Internet TK Electrical engineering. Electronics Nuclear engineering TK1-9971
ISSN:	2169-3536
On-line přístup:	Získat plný text
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ISSN:	2169-3536
DOI:	10.60692/f1r77-z8v63