Dynamic Permissions based Android Malware Detection using Machine Learning Techniques-Reference-Cited by-同舟云学术

Dynamic Permissions based Android Malware Detection using Machine Learning Techniques

Published:2017-02-05 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 10th Innovations in Software Engineering Conference
language:
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Author:

Mahindru Arvind¹,Singh Paramvir²

Affiliation:

1. Department of Computer Science & Applications, D.A.V. University, Sarmastpur, Jalandhar

2. Department of Computer Science & Engineering, Dr. B.R. Ambedkar National Institute of Technology, Jalandhar

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3021460.3021485

Reference42 articles.

1. H.A. Alatwi. Android malware detection using category-based machine learning classifiers. Masters thesis June 2016. H.A. Alatwi. Android malware detection using category-based machine learning classifiers. Masters thesis June 2016.

2. A methodology for empirical analysis of permission-based security models and its application to android

3. Crowdroid

4. Analyzing inter-application communication in Android

5. MADAM: A Multi-level Anomaly Detector for Android Malware

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