Anti-obfuscation Android application similarity detection method based on API call

The traditional Android application similarity detection methods have the problem of complex feature extraction and low detecting efficiency. Regarding the issue above, an anti-obfuscation Android application similarity detection method based on API call was proposed. Firstly, it extracts referenced...

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Main Authors: GU Jieming, SUN Bowen, LI Qi, GUO Yanhui, WU Peng
Format: Article
Language:English
Published: POSTS&TELECOM PRESS Co., LTD 2018-01-01
Series:网络与信息安全学报
Subjects:
Online Access:http://www.infocomm-journal.com/cjnis/CN/10.11959/j.issn.2096-109x.2018001
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author GU Jieming, SUN Bowen, LI Qi, GUO Yanhui
WU Peng
author_facet GU Jieming, SUN Bowen, LI Qi, GUO Yanhui
WU Peng
author_sort GU Jieming, SUN Bowen, LI Qi, GUO Yanhui
collection DOAJ
description The traditional Android application similarity detection methods have the problem of complex feature extraction and low detecting efficiency. Regarding the issue above, an anti-obfuscation Android application similarity detection method based on API call was proposed. Firstly, it extracts referenced API sequence from the dex file. Counting the number of referenced API after decompiling the application to build feature vector. Finally, calculate the application similarity through feature vector. The experimental results show that the method has high accuracy.
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spelling doaj.art-4db31f3f7af54c7aa9550c06fc8e70532022-12-22T02:38:22ZengPOSTS&TELECOM PRESS Co., LTD网络与信息安全学报2096-109X2018-01-0141636810.11959/j.issn.2096-109x.2018001Anti-obfuscation Android application similarity detection method based on API callGU Jieming, SUN Bowen, LI Qi, GUO Yanhui0WU Peng1School of Cyberspace Security,Beijing University of Post and Telecommunications, Beijing 100876, China; Beijing Key Laboratory of integration with the world Internet, Beijing 100876, ChinaSchool of Computer Science, Sichuan University, Chengdu 610015, ChinaThe traditional Android application similarity detection methods have the problem of complex feature extraction and low detecting efficiency. Regarding the issue above, an anti-obfuscation Android application similarity detection method based on API call was proposed. Firstly, it extracts referenced API sequence from the dex file. Counting the number of referenced API after decompiling the application to build feature vector. Finally, calculate the application similarity through feature vector. The experimental results show that the method has high accuracy.http://www.infocomm-journal.com/cjnis/CN/10.11959/j.issn.2096-109x.2018001application similarityandroidreverse engineeringanti-obfuscation
spellingShingle GU Jieming, SUN Bowen, LI Qi, GUO Yanhui
WU Peng
Anti-obfuscation Android application similarity detection method based on API call
网络与信息安全学报
application similarity
android
reverse engineering
anti-obfuscation
title Anti-obfuscation Android application similarity detection method based on API call
title_full Anti-obfuscation Android application similarity detection method based on API call
title_fullStr Anti-obfuscation Android application similarity detection method based on API call
title_full_unstemmed Anti-obfuscation Android application similarity detection method based on API call
title_short Anti-obfuscation Android application similarity detection method based on API call
title_sort anti obfuscation android application similarity detection method based on api call
topic application similarity
android
reverse engineering
anti-obfuscation
url http://www.infocomm-journal.com/cjnis/CN/10.11959/j.issn.2096-109x.2018001
work_keys_str_mv AT gujiemingsunbowenliqiguoyanhui antiobfuscationandroidapplicationsimilaritydetectionmethodbasedonapicall
AT wupeng antiobfuscationandroidapplicationsimilaritydetectionmethodbasedonapicall