FLSH: A Framework Leveraging Similarity Hashing for Android Malware and Variant Detection

FLSH: A Framework Leveraging Similarity Hashing for Android Malware and Variant Detection

As technology advances, the frequency and complexity of cyberattacks continue to rise, with Android OS, given its significant market share, becoming a prime target for sophisticated malware attacks. While the core categories of malware remain consistent, minor modifications often allow these variant...

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Bibliographic Details
Main Authors: Hassan Jalil Hadi, Alina Khalid, Faisal Bashir Hussain, Naveed Ahmad, Mohammed Ali Alshara
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Android malware
fuzzy hashing
malware classification
similarity hashing
deep learning
Online Access:https://ieeexplore.ieee.org/document/10858723/
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https://ieeexplore.ieee.org/document/10858723/

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