Apk2Audio4AndMal: Audio Based Malware Family Detection Framework
Due to Android’s popularity, cybercriminals view it as a lucrative target. Malwares with varying behavior patterns that specifically target user routines are constantly entering the market. Because of this, knowing how to identify different forms of malware is crucial for protecting again...
Saved in:
Main Authors: | Oguz Emre Kural, Erdal Kilic, Ceyda Aksac |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10073518/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Android malware family classification method based on the image of bytecodeConstruction of MDS matrices
by: Yi-min YANG, et al.
Published: (2016-06-01) -
LinRegDroid: Detection of Android Malware Using Multiple Linear Regression Models-Based Classifiers
by: Durmus Ozkan Sahin, et al.
Published: (2022-01-01) -
Audiogmenter: a MATLAB toolbox for audio data augmentation
by: Gianluca Maguolo, et al.
Published: (2025-01-01) -
The Development of Digital Audio Coding
by: Guo Ke
Published: (1995-01-01) -
A Survey on Adversarial Attacks for Malware Analysis
by: Kshitiz Aryal, et al.
Published: (2025-01-01)