Malware detection for mobile computing using secure and privacy-preserving machine learning approaches: A comprehensive survey-Reference-Cited by-同舟云学术

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Malware detection for mobile computing using secure and privacy-preserving machine learning approaches: A comprehensive survey

Published:2024-07 Issue: Volume:117 Page:109233
ISSN:0045-7906
Container-title:Computers and Electrical Engineering
language:en
Short-container-title:Computers and Electrical Engineering

Author:

Nawshin Faria^ORCID,Gad Radwa,Unal Devrim^ORCID,Al-Ali Abdulla Khalid^ORCID,Suganthan Ponnuthurai N.

Funder

Qatar University

Publisher

Elsevier BV

Reference201 articles.

1. Ericsson mobility report;Ericcson,2022

2. Number of android applications;AppBrain,2022

3. Number of apps available in leading app stores as of 3rd quarter 2022;Statista,2022

4. Malware;AVTest,2022

5. Analyzing security issues of android mobile health and medical applications;Tangari;J Am Med Inform Assoc,2021

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2. A Risk Assessment Framework for Mobile Apps in Mobile Cloud Computing Environments;Future Internet;2024-07-29

3. Deep Learning Approach for Pitting Corrosion Detection in Gas Pipelines;Sensors;2024-05-31

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