An Android Malware Detection Approach Based on SIMGRU

With the rapid development of the Internet era, the number of malware has reached an unprecedented peak, and therefore malware is threatening global network security seriously. In this article, we propose an Android malware detection approach based on SIMGRU, which belongs to the static detection ap...

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Bibliographic Details
Main Authors:	Hanxun Zhou, Xinlin Yang, Hong Pan, Wei Guo
Format:	Article
Language:	English
Published:	IEEE 2020-01-01
Series:	IEEE Access
Subjects:	Network security android malware detection GRU SIMGRU deep learning
Online Access:	https://ieeexplore.ieee.org/document/9152129/

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spelling	doaj-edbd7c581a51431183cf52340ad98fdb2021-03-30T01:57:02ZengIEEEIEEE Access2169-35362020-01-01814840414841010.1109/ACCESS.2020.30075719152129An Android Malware Detection Approach Based on SIMGRUHanxun Zhou0https://orcid.org/0000-0002-6271-1874Xinlin Yang1https://orcid.org/0000-0002-4047-4695Hong Pan2https://orcid.org/0000-0001-6268-7280Wei Guo3https://orcid.org/0000-0003-1769-2173School of Information, Liaoning University, Shenyang, ChinaSchool of Information, Liaoning University, Shenyang, ChinaSchool of Economics, Liaoning University, Shenyang, ChinaSchool of Computer, Shenyang Aerospace University, Shenyang, ChinaWith the rapid development of the Internet era, the number of malware has reached an unprecedented peak, and therefore malware is threatening global network security seriously. In this article, we propose an Android malware detection approach based on SIMGRU, which belongs to the static detection approach. The similarity of clustering is widely used in static analysis of android malware, so we introduce the similarity to improve Gated Recurrent Unit (GRU), and obtain three different structures of SimGRU: InputSimGRU, HiddenSimGRU, and InputHiddenSimGRU. The InputHiddenSimGRU is the combination of InputSimGRU and HiddenSimGRU. The experiment shows that InputSimGRU, HiddenSimGRU, and InputHiddenSimGRU outperform the conventional GRU model and other methods.https://ieeexplore.ieee.org/document/9152129/Network securityandroid malware detectionGRUSIMGRUdeep learning
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Hanxun Zhou Xinlin Yang Hong Pan Wei Guo
spellingShingle	Hanxun Zhou Xinlin Yang Hong Pan Wei Guo An Android Malware Detection Approach Based on SIMGRU IEEE Access Network security android malware detection GRU SIMGRU deep learning
author_facet	Hanxun Zhou Xinlin Yang Hong Pan Wei Guo
author_sort	Hanxun Zhou
title	An Android Malware Detection Approach Based on SIMGRU
title_short	An Android Malware Detection Approach Based on SIMGRU
title_full	An Android Malware Detection Approach Based on SIMGRU
title_fullStr	An Android Malware Detection Approach Based on SIMGRU
title_full_unstemmed	An Android Malware Detection Approach Based on SIMGRU
title_sort	android malware detection approach based on simgru
publisher	IEEE
series	IEEE Access
issn	2169-3536
publishDate	2020-01-01
description	With the rapid development of the Internet era, the number of malware has reached an unprecedented peak, and therefore malware is threatening global network security seriously. In this article, we propose an Android malware detection approach based on SIMGRU, which belongs to the static detection approach. The similarity of clustering is widely used in static analysis of android malware, so we introduce the similarity to improve Gated Recurrent Unit (GRU), and obtain three different structures of SimGRU: InputSimGRU, HiddenSimGRU, and InputHiddenSimGRU. The InputHiddenSimGRU is the combination of InputSimGRU and HiddenSimGRU. The experiment shows that InputSimGRU, HiddenSimGRU, and InputHiddenSimGRU outperform the conventional GRU model and other methods.
topic	Network security android malware detection GRU SIMGRU deep learning
url	https://ieeexplore.ieee.org/document/9152129/
work_keys_str_mv	AT hanxunzhou anandroidmalwaredetectionapproachbasedonsimgru AT xinlinyang anandroidmalwaredetectionapproachbasedonsimgru AT hongpan anandroidmalwaredetectionapproachbasedonsimgru AT weiguo anandroidmalwaredetectionapproachbasedonsimgru AT hanxunzhou androidmalwaredetectionapproachbasedonsimgru AT xinlinyang androidmalwaredetectionapproachbasedonsimgru AT hongpan androidmalwaredetectionapproachbasedonsimgru AT weiguo androidmalwaredetectionapproachbasedonsimgru
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An Android Malware Detection Approach Based on SIMGRU

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