Deep learning based Sequential model for malware analysis using Windows exe API Calls

Deep learning based Sequential model for malware analysis using Windows exe API Calls

Malware development has seen diversity in terms of architecture and features. This advancement in the competencies of malware poses a severe threat and opens new research dimensions in malware detection. This study is focused on metamorphic malware, which is the most advanced member of the malware f...

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Bibliographic Details
Main Authors: Ferhat Ozgur Catak, Ahmet Faruk Yazı, Ogerta Elezaj, Javed Ahmed
Format: Article
Language:English
Published: PeerJ Inc. 2020-07-01
Series:PeerJ Computer Science
Subjects:
Malware analysis
Sequential models
Network security
Long-short-term memory
Malware dataset
Online Access:https://peerj.com/articles/cs-285.pdf

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https://peerj.com/articles/cs-285.pdf

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