Detection and Analysis of Malicious Software Using Machine Learning Models

Detection and Analysis of Malicious Software Using Machine Learning Models

The continuous evolution of malware poses a significant challenge in cybersecurity, adapting to technological advancements despite implemented security measures. This paper introduces an innovative approach to enhance the detection of obfuscated malware through the integration of machine learning (M...

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Bibliographic Details
Main Authors:	Selman Hızal, Ahmet Öztürk
Format:	Article
Language:	English
Published:	Sakarya University 2024-08-01
Series:	Sakarya University Journal of Computer and Information Sciences
Subjects:	information security software analysis malware detection system machine learning
Online Access:	https://dergipark.org.tr/en/download/article-file/3952776
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