Automated Android Malware Detection Using Optimal Ensemble Learning Approach for Cybersecurity-Reference-Cited by-同舟云学术

Automated Android Malware Detection Using Optimal Ensemble Learning Approach for Cybersecurity

Published:2023 Issue: Volume:11 Page:72509-72517
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Alamro Hayam¹,Mtouaa Wafa²,Aljameel Sumayh³^ORCID,Salama Ahmed S.⁴,Hamza Manar Ahmed⁵,Othman Aladdin Yahya⁵^ORCID

Affiliation:

1. Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

2. Department of Mathematics, Faculty of Sciences and Arts, King Khalid University, Muhayil, Saudi Arabia

3. Department of Computer Science, College of Computer Science and Information Technology, Saudi Aramco Cybersecurity Chair, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia

4. Department of Electrical Engineering, Faculty of Engineering and Technology, Future University in Egypt, New Cairo, Egypt

5. Department of Computer and Self Development, Preparatory Year Deanship, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia

Funder

Deanship of Scientific Research at King Khalid University for funding this work through large group Research Project

Princess Nourah bint Abdulrahman University Researchers Supporting Project number

Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

SAUDI ARAMCO Cybersecurity Chair for funding this project

Future University in Egypt

Prince Sattam bin Abdulaziz University project number

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/ielx7/6287639/10005208/10177906.pdf?arnumber=10177906

Reference30 articles.

1. MAPAS: a practical deep learning-based android malware detection system

2. Towards Multi-view Android Malware Detection Through Image-based Deep Learning

3. De-LADY: Deep learning-based Android malware detection using dynamic features;sihag;J Internet Serv Inf Secur,2021

4. Android malware detection using network traffic based on sequential deep learning models

5. Andro-AutoPsy: Anti-malware system based on similarity matching of malware and malware creator-centric information

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