Collaborative Framework for Early Detection of RAT-Bots Attacks
Attackers tend to use Remote Access Trojans (RATs) to compromise and control a targeted computer, which makes the RAT detection as an active research field. This paper introduces a machine learning-based framework for detecting compromised hosts and networks that are infected by the RAT-Bots. The pr...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8725491/ |