Systematic Review on Various Techniques of Android Malware Detection-Reference-Cited by-同舟云学术

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Systematic Review on Various Techniques of Android Malware Detection

Published:2022 Issue: Volume: Page:82-99
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
Short-container-title:

Author:

Dave Dharmesh D.^ORCID,Rathod Digvijaysinh^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-10551-7_7

Reference96 articles.

1. StatCounter Global Stats - https://gs.statcounter.com/os-market-share

2. Nokia Threat Intelligence Report 2020

3. Nokia Threat Intelligence Report 2019

4. Statista - https://www.statista.com/statistics/266210/number-of-available-applications-in-the-google-play-store/

5. Kaspersky Team: Malicious Android app had more than 100 million downloads in Google Play – Kaspersky (2019)

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. Machine Learning for Android Malware Detection: Mission Accomplished? A Comprehensive Review of Open Challenges and Future Perspectives;Computers & Security;2024-03

2. Dynamic Security Analysis on Android: A Systematic Literature Review;IEEE Access;2024

3. Active Learning Based Adversary Evasion Attacks Defense for Malwares in the Internet of Things;IEEE Systems Journal;2023

4. Towards Explainable Quantum Machine Learning for Mobile Malware Detection and Classification;Applied Sciences;2022-11-24

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