A novel feature selection technique: Detection and classification of Android malware
Android operating system is not just the most commonly employed mobile operating system, but also the most lucrative target for cybercriminals due to its extensive user base. In light of this, the objective of this research is to uncover a few features that can significantly enhance the detection of...
Saved in:
Main Authors: | Sandeep Sharma, Prachi, Rita Chhikara, Kavita Khanna |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2025-03-01
|
Series: | Egyptian Informatics Journal |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1110866525000118 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Android malware detection method based on deep neural network
by: Fan CHAO, et al.
Published: (2020-10-01) -
Android malware family classification method based on the image of bytecodeConstruction of MDS matrices
by: Yi-min YANG, et al.
Published: (2016-06-01) -
Android malware detection method based on SimHash
by: Bo CHEN, et al.
Published: (2017-11-01) -
Android Malware Threats: A Strengthened Reverse Engineering Approach to Forensic Analysis
by: Ridho Surya Kusuma, et al.
Published: (2025-01-01) -
Android malware detection method based on permission sequential pattern mining algorithm
by: Huan YANG, et al.
Published: (2013-08-01)