Supervised Learning Based Detection of Malware on Android-Reference-Cited by-同舟云学术

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Supervised Learning Based Detection of Malware on Android

Published:2017 Issue: Volume: Page:101-154
ISSN:
Container-title:Mobile Security and Privacy
language:
Short-container-title:

Author:

Tchakounté F.,Hayata F.

Publisher

Elsevier

Reference80 articles.

1. Machine Learning-Based Malware Detection for Android Applications: History Matters!;Allix,2014

2. Manifest permissions,2015

3. Android-apktool, A tool for reverse engineering Android apk files. http://code.google.com/p/android-apktool/.

4. Android source,2015

5. Android studio, http://developer.android.com/tools/studio/index.html.

Cited by 5 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. A Taxonomy and Analysis of Misbehaviour Detection in Cooperative Intelligent Transport Systems: A Systematic Review;ACM Computing Surveys;2023-08-28

2. Malware Prediction And Classification For Android Applications Using Machine Learning Techniques;2023 International Conference on Computer Communication and Informatics (ICCCI);2023-01-23

3. CIAA-RepDroid: A Fine-Grained and Probabilistic Reputation Scheme for Android Apps Based on Sentiment Analysis of Reviews;Future Internet;2020-08-27

4. Machine Learning Based Android Vulnerability Detection: A Roadmap;Information Systems Security;2020

5. A Survey on Supervised and Unsupervised Learning Techniques;Proceedings of International Conference on Artificial Intelligence, Smart Grid and Smart City Applications;2020

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