Malware-SeqGuard: An Approach Utilizing LSTM and GRU for Effective Detection of Evolving Malware in Android Environments

Malware-SeqGuard: An Approach Utilizing LSTM and GRU for Effective Detection of Evolving Malware in Android Environments

Malware detection is crucial for safeguarding devices and networks from malicious software that can compromise sensitive information, disrupt operations, and lead to financial losses. By identifying and neutralizing threats early effective malware detection helps maintain the integrity confidentiali...

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Bibliographic Details
Main Authors: Muhammad Usama Tanveer, Kashif Munir, Abdulatif Alabdulatif, Anas R. Najdawi, Rutvij H. Jhaveri
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Malware-SeqGuard
malware detection
cybersecurity
deep learning
android environment
Online Access:https://ieeexplore.ieee.org/document/11069258/
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