Machine Learning Classifiers for Android Malware Detection-Reference-Cited by-同舟云学术

Machine Learning Classifiers for Android Malware Detection

Published:2020-08-19 Issue: Volume: Page:311-322
ISSN:2194-5357
Container-title:Data Management, Analytics and Innovation
language:
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Author:

Agrawal Prerna,Trivedi Bhushan

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-5616-6_22

Reference15 articles.

1. Koli, J. D. (2018). RanDroid: Android malware detection using random machine learning classifiers. In: International Conference on Technologies for Smart City Energy Security and Power (ICSESP) IEEE, Mar 2018.

2. Agrawal, P., & Trivedi, B. (2019). A survey on android malware and their detection techniques. In: Third International Conference on Electrical, Computer and Communication Technologies (ICECCT) IEEE, Feb 2019.

3. Agrawal, Prerna, & Trivedi, Bhushan. (2019). Analysis of android malware scanning tools. International Journal of Computer Sciences and Engineering, 7(3), 807–810.

4. Kumaran, M., & Li, W. (2016). Lightweight malware detection based on machine learning algorithms and the android manifest file. In: MIT Undergraduate Research Technology Conference(URTC) IEEE, Nov 2016.

5. Leeds, M., & Atkison, T. (2016). Preliminary results of applying machine learning algorithms to android malware detection. In: International Conference on Computational Intelligence (ICCI) IEEE, Dec 2016.

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