A Study on Detection of Malicious Behavior Based on Host Process Data Using Machine Learning

A Study on Detection of Malicious Behavior Based on Host Process Data Using Machine Learning

With the rapid increase in the number of cyber-attacks, detecting and preventing malicious behavior has become more important than ever before. In this study, we propose a method for detecting and classifying malicious behavior in host process data using machine learning algorithms. One of the chall...

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Bibliographic Details
Main Authors: Ryeobin Han, Kookjin Kim, Byunghun Choi, Youngsik Jeong
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Applied Sciences
Subjects:
behavior detection
anomaly detection
cyber security
machine learning
Online Access:https://www.mdpi.com/2076-3417/13/7/4097

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