DroidNative: Automating and optimizing detection of Android native code malware variants-Reference-Cited by-同舟云学术

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DroidNative: Automating and optimizing detection of Android native code malware variants

Published:2017-03 Issue: Volume:65 Page:230-246
ISSN:0167-4048
Container-title:Computers & Security
language:en
Short-container-title:Computers & Security

Author:

Alam Shahid,Qu Zhengyang,Riley Ryan^ORCID,Chen Yan,Rastogi Vaibhav

Funder

Qatar National Research Fund

Publisher

Elsevier BV

Subject

Law,General Computer Science

Reference62 articles.

1. Going native: using a large-scale analysis of android apps to create a practical native-code sandboxing policy;Afonso,2016

2. Compilers: principles, techniques, and tools;Aho,2006

3. MAIL: Malware Analysis Intermediate Language – a step towards automating and optimizing malware detection;Alam,2013

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