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Android Malware Detection by Correlated Real Permission Couples Using FP Growth Algorithm and Neural Networks

  • Published:2023 Issue: Volume:11 Page:124996-125010
  • ISSN:2169-3536
  • Container-title:IEEE Access
  • language:
  • Short-container-title:IEEE Access

Author:

Banik Abhinandan1ORCID,Singh Jyoti Prakash1ORCID

Affiliation:

1. National Institute of Technology Patna, Patna, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Reference37 articles.

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. SecuDroid : Android Malware Detection using ML classifier on Static Features;2024 2nd International Conference on Networking and Communications (ICNWC);2024-04-02

2. Deep learning-powered malware detection in cyberspace: a contemporary review;Frontiers in Physics;2024-03-28

3. A comprehensive review on permissions-based Android malware detection;International Journal of Information Security;2024-03-04

4. Sine Cosine Reptile Search Algorithm with Grid Search Support Vector Machine based Ransomware Detection and Classification;2024 International Conference on Integrated Circuits and Communication Systems (ICICACS);2024-02-23
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