A Novel Machine Learning Approach for Android Malware Detection Based on the Co-Existence of Features-Reference-Cited by-同舟云学术

A Novel Machine Learning Approach for Android Malware Detection Based on the Co-Existence of Features

Published:2023 Issue: Volume:11 Page:15471-15484
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Odat Esraa¹,Yaseen Qussai M.²^ORCID

Affiliation:

1. Department of Computer Information Systems, Jordan University of Science and Technology, Irbid, Jordan

2. Artificial Intelligence Research Center AIRC, College of Computer Engineering and Information Technology, Ajman University, Ajman, United Arab Emirates

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10043652.pdf?arnumber=10043652

Reference45 articles.

1. Drebin: Effective and Explainable Detection of Android Malware in Your Pocket

2. StormDroid

3. MADAM: Effective and Efficient Behavior-based Android Malware Detection and Prevention

4. Discriminative Frequent Pattern Analysis for Effective Classification

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