Advanced Malware Detection: Integrating Convolutional Neural Networks with LSTM RNNs for Enhanced Security

Advanced Malware Detection: Integrating Convolutional Neural Networks with LSTM RNNs for Enhanced Security

Malware, or malicious software, is a serious threat to people, businesses, and the cybersecurity environment as a whole. Its purpose is to disrupt, damage, or obtain unauthorized access to computer systems. The ability to accurately classify and identify different types of malware is very important...

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Bibliographic Details
Main Author: Balsam Ridha Habeeb Alsaedi
Format: Article
Language:English
Published: College of Computer and Information Technology – University of Wasit, Iraq 2024-12-01
Series:Wasit Journal of Computer and Mathematics Science
Subjects:
convolutional neural network
LSTM recurrent neural network
malware detection
Online Access:http://wjcm.uowasit.edu.iq/index.php/wjcm/article/view/288
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