DeepVisDroid: android malware detection by hybridizing image-based features with deep learning techniques-Reference-Cited by-同舟云学术

DeepVisDroid: android malware detection by hybridizing image-based features with deep learning techniques

Published:2021-03-04 Issue:18 Volume:33 Page:11499-11516
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Bakour Khaled^ORCID,Ünver Halil Murat

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

https://link.springer.com/content/pdf/10.1007/s00521-021-05816-y.pdf

Reference39 articles.

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4. Kaspersky (2019) Mobile malware evolution 2019. https://securelist.com/mobile-malware-evolution-2019/96280/. Accessed 19 May 2020

5. Data G (2019) Mobile malware report—no let-up with Android malware. https://www.gdatasoftware.com/news/2019/07/35228-mobile-malware-report-no-let-up-with-android-malware Accessed 19 May 2020

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