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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Format: | Article |
Language: | English |
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POSTS&TELECOM PRESS Co., LTD
2017-03-01
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Series: | 网络与信息安全学报 |
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Online Access: | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2017.00159 |
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_version_ | 1841530218424041472 |
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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 |