Semantic modelling of Android malware for effective malware comprehension, detection, and classification-Reference-Cited by-同舟云学术

Semantic modelling of Android malware for effective malware comprehension, detection, and classification

Published:2016-07-18 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 25th International Symposium on Software Testing and Analysis
language:
Short-container-title:

Author:

Meng Guozhu¹,Xue Yinxing¹,Xu Zhengzi¹,Liu Yang¹,Zhang Jie¹,Narayanan Annamalai¹

Affiliation:

1. Nanyang Technological University, Singapore

Funder

National Research Foundation, Prime Minister's Office, Singapore under its National Cybersecurity R&D Program

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2931037.2931043

Reference75 articles.

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3. AnZhi. http://www.anzhi.com/ 2014. AnZhi. http://www.anzhi.com/ 2014.

4. F-Droid: Free and Open Source Android App Repository. http://f-droid.org 2014. F-Droid: Free and Open Source Android App Repository. http://f-droid.org 2014.

5. Google Play. http://play.google.com/store/ 2014. Google Play. http://play.google.com/store/ 2014.

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