In-Depth Feature Selection for the Statistical Machine Learning-Based Botnet Detection in IoT Networks
Author:
Affiliation:
1. Department of Software Science, School of Information Technology, Tallinn University of Technology (TalTech), Tallinn, Estonia
Funder
European Union through the European Social Fund through the Project Information Communication Technology (ICT) Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09875261.pdf?arnumber=9875261
Reference57 articles.
1. Detecting P2P botnets through network behavior analysis and machine learning
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4. Toward developing a systematic approach to generate benchmark datasets for intrusion detection
5. An enhancing framework for botnet detection using generative adversarial networks
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