Research on Android malware detection based on permission and behavior

For the Android platform malicious application,a method of mapping behavior to privilege characteristics by combining static privilege feature analysis and dynamic behavior analysis was proposed,and association analysis algorithm was used to dig out the association rules between privilege features.F...

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Main Authors: Xiao-min ZHANG, Jing LUI, Jun-xi ZHUANG, Ying-xu LAI
Format: Article
Language:English
Published: POSTS&TELECOM PRESS Co., LTD 2017-03-01
Series:网络与信息安全学报
Subjects:
Online Access:http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2017.00159
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author Xiao-min ZHANG
Jing LUI
Jun-xi ZHUANG
Ying-xu LAI
author_facet Xiao-min ZHANG
Jing LUI
Jun-xi ZHUANG
Ying-xu LAI
author_sort Xiao-min ZHANG
collection DOAJ
description For the Android platform malicious application,a method of mapping behavior to privilege characteristics by combining static privilege feature analysis and dynamic behavior analysis was proposed,and association analysis algorithm was used to dig out the association rules between privilege features.Feature as a naive Bayesian classification algorithm input,a malicious application detection model was established.Finally,the experiment verify the effectiveness and accuracy of the method.
format Article
id doaj-art-76e4178f5b154037b415a6d96108b0d5
institution Kabale University
issn 2096-109X
language English
publishDate 2017-03-01
publisher POSTS&TELECOM PRESS Co., LTD
record_format Article
series 网络与信息安全学报
spelling doaj-art-76e4178f5b154037b415a6d96108b0d52025-01-15T03:05:36ZengPOSTS&TELECOM PRESS Co., LTD网络与信息安全学报2096-109X2017-03-013515759550063Research on Android malware detection based on permission and behaviorXiao-min ZHANGJing LUIJun-xi ZHUANGYing-xu LAIFor the Android platform malicious application,a method of mapping behavior to privilege characteristics by combining static privilege feature analysis and dynamic behavior analysis was proposed,and association analysis algorithm was used to dig out the association rules between privilege features.Feature as a naive Bayesian classification algorithm input,a malicious application detection model was established.Finally,the experiment verify the effectiveness and accuracy of the method.http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2017.00159Android systemsecurity mechanismpermissions featureclassifier
spellingShingle Xiao-min ZHANG
Jing LUI
Jun-xi ZHUANG
Ying-xu LAI
Research on Android malware detection based on permission and behavior
网络与信息安全学报
Android system
security mechanism
permissions feature
classifier
title Research on Android malware detection based on permission and behavior
title_full Research on Android malware detection based on permission and behavior
title_fullStr Research on Android malware detection based on permission and behavior
title_full_unstemmed Research on Android malware detection based on permission and behavior
title_short Research on Android malware detection based on permission and behavior
title_sort research on android malware detection based on permission and behavior
topic Android system
security mechanism
permissions feature
classifier
url http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2017.00159
work_keys_str_mv AT xiaominzhang researchonandroidmalwaredetectionbasedonpermissionandbehavior
AT jinglui researchonandroidmalwaredetectionbasedonpermissionandbehavior
AT junxizhuang researchonandroidmalwaredetectionbasedonpermissionandbehavior
AT yingxulai researchonandroidmalwaredetectionbasedonpermissionandbehavior