Static Malware Detection Using Stacked BiLSTM and GPT-2

Static Malware Detection Using Stacked BiLSTM and GPT-2

In recent years, cyber threats and malicious software attacks have been escalated on various platforms. Therefore, it has become essential to develop automated machine learning methods for defending against malware. In the present study, we propose stacked bidirectional long short-term memory (Stack...

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Bibliographic Details
Main Authors: Deniz Demirci, Nazenin Sahin, Melih Sirlancis, Cengiz Acarturk
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Malware detection
static analysis
stacked BiLSTM
GPT-2
Online Access:https://ieeexplore.ieee.org/document/9785789/

Internet

https://ieeexplore.ieee.org/document/9785789/

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