Android Malware Classification and Optimisation Based on BM25 Score of Android API
Author:
Affiliation:
1. Northumbria University,Computer and Information Sciences,Newcastle upon Tyne,UK
2. School of Computing, Engineering & Digital Technologies Teesside University,Middlesbrough,UK
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10225747/10225748/10226039.pdf?arnumber=10226039
Reference22 articles.
1. Droiddetector: android malware characterization and detection using deep learning
2. Learning to detect Android malware via opcode sequences;pekta?;Neurocomputing,2019
3. An Effective Android Ransomware Detection Through Multi-Factor Feature Filtration and Recurrent Neural Network
4. DL-Droid: Deep learning based android malware detection using real devices
5. Evaluation of Tree Based Machine Learning Classifiers for Android Malware Detection
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