Malware Detection and Classification in Android Application Using Simhash-Based Feature Extraction and Machine Learning

Malware Detection and Classification in Android Application Using Simhash-Based Feature Extraction and Machine Learning

The need to detect and classify malware on Android devices has become crucial due to the widespread use of these devices daily. This paper presents a method for detecting and classifying malware that uses static and dynamic features. Specifically, we extract permissions and intent filters from stati...

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Bibliographic Details
Main Authors: Wafaa Al-Kahla, Eyad Taqieddin, Ahmed S. Shatnawi, Rami Al-Ouran
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Android
malware
family classification
Simhash feature extraction
static analysis
dynamic analysis
Online Access:https://ieeexplore.ieee.org/document/10756598/
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