A Systematical Study for Deep Learning Based Android Malware Detection-Reference-Cited by-同舟云学术

A Systematical Study for Deep Learning Based Android Malware Detection

Published:2020-02-18 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2020 9th International Conference on Software and Computer Applications
language:
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Author:

Wu Huanyu¹

Affiliation:

1. School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3384544.3384546

Reference34 articles.

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2. E. J. Alqahtani R. Zagrouba and A. Almuhaideb "A Survey on Android Malware Detection Techniques Using Machine Learning Algorithms. " 2019 Sixth International Conference on Software Defined Systems (SDS) Rome Italy 2019 pp. 110--117.DOI= https://doi.org/10.1109/SDS.2019.8768729 E. J. Alqahtani R. Zagrouba and A. Almuhaideb "A Survey on Android Malware Detection Techniques Using Machine Learning Algorithms. " 2019 Sixth International Conference on Software Defined Systems (SDS) Rome Italy 2019 pp. 110--117.DOI= https://doi.org/10.1109/SDS.2019.8768729

3. Naway A. and Li Y. 2018. A Review on The Use of Deep Learning in Android Malware Detection. arXiv preprint arXiv:1812.10360. Naway A. and Li Y. 2018. A Review on The Use of Deep Learning in Android Malware Detection. arXiv preprint arXiv:1812.10360.

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