Separating Malicious from Benign Software Using Deep Learning Algorithm

Separating Malicious from Benign Software Using Deep Learning Algorithm

The increased usage of the Internet raises cyber security attacks in digital environments. One of the largest threats that initiate cyber attacks is malicious software known as malware. Automatic creation of malware as well as obfuscation and packing techniques make the malicious detection processes...

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Bibliographic Details
Main Author: Ömer Aslan
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Electronics
Subjects:
cyber security
malware
malware detection
malware dataset generation
deep learning
traditional learning
Online Access:https://www.mdpi.com/2079-9292/12/8/1861

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