MAD-ANET: Malware Detection Using Attention-Based Deep Neural Networks

In the current digital era, new technologies are becoming an essential part of our lives. Consequently, the number of malicious software or malware attacks is rapidly growing. There is no doubt, the majority of malware attack... | Find, read and cite all the research you need on Tech Science Press

Authors

Publication Details

Journal
Computer Modeling in Engineering & Sciences
Published
2025-01-01
DOI
https://doi.org/10.32604/cmes.2025.058352
Citations
6
Primary Topic
Advanced Malware Detection Techniques
Type
article
Field-Weighted Citation Impact
8.91
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article

MAD-ANET: Malware Detection Using Attention-Based Deep Neural Networks

Tanveer Zia, Emad Ul Haq Qazi, Muhammad Hamza Faheem, Iftikhar Ahmad et al.
6 citations
Computer Modeling in Engineering & Sciences
Advanced Malware Detection Techniques
8.91
article

MAD-ANET: Malware Detection Using Attention-Based Deep Neural Networks

Tanveer Zia, Emad Ul Haq Qazi, Muhammad Hamza Faheem, Iftikhar Ahmad, Waleed Khalid Al-Ghanem, Muhammad Imran
article en
6 citations

Abstract

In the current digital era, new technologies are becoming an essential part of our lives. Consequently, the number of malicious software or malware attacks is rapidly growing. There is no doubt, the majority of malware attack... | Find, read and cite all the research you need on Tech Science Press

Computer Modeling in Engineering & SciencesVol. 143(1)
Openalex Percentile: Top 2%
Advanced Malware Detection Techniques
8.91
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