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MALWARE DETECTION USING DEEP LEARNING ALGORITHMS

Published in AURUM Journal of Engineering Systems and Architecture • Jun 30, 2023
NobleIDNI7P53W24R22S66
Authors:
Mohammed ALTAİY
,
İncilay YILDIZ
,
Bahadır UÇAN

Abstract

Background/aim: The aim of this study is to benefit from deep learning algorithms in the classification of malware. It is to determine the most effective classification algorithm by comparing the performances of deep learning algorithms. Materials and methods: In this study, three deep learning meth...

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