Android malware family classification method based on the image of bytecodeConstruction of MDS matrices
An Android malware family classification method based on the image of bytecode was proposed accord-ing to the exponential growth of Android malware.A bytecode file of Android malware was converted to a 256-level grayscale image and texture features was extracted from the image by GIST.The random for...
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Format: | Article |
Language: | English |
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POSTS&TELECOM PRESS Co., LTD
2016-06-01
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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.2016.00066 |
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author | Yi-min YANG Tie-ming CHEN |
author_facet | Yi-min YANG Tie-ming CHEN |
author_sort | Yi-min YANG |
collection | DOAJ |
description | An Android malware family classification method based on the image of bytecode was proposed accord-ing to the exponential growth of Android malware.A bytecode file of Android malware was converted to a 256-level grayscale image and texture features was extracted from the image by GIST.The random forest algorithm was ap-plied to classify the extracted features.The method by the experimental data of 14 kinds of common Android mal-ware families was verified and was compared against the DREBIN on the same dataset.The experimental results show that the proposed method has high detection precision and low false positive rate. |
format | Article |
id | doaj-art-da385f28db6b42938f49ff7e3cb1cd29 |
institution | Kabale University |
issn | 2096-109X |
language | English |
publishDate | 2016-06-01 |
publisher | POSTS&TELECOM PRESS Co., LTD |
record_format | Article |
series | 网络与信息安全学报 |
spelling | doaj-art-da385f28db6b42938f49ff7e3cb1cd292025-01-15T03:04:38ZengPOSTS&TELECOM PRESS Co., LTD网络与信息安全学报2096-109X2016-06-012384359545856Android malware family classification method based on the image of bytecodeConstruction of MDS matricesYi-min YANGTie-ming CHENAn Android malware family classification method based on the image of bytecode was proposed accord-ing to the exponential growth of Android malware.A bytecode file of Android malware was converted to a 256-level grayscale image and texture features was extracted from the image by GIST.The random forest algorithm was ap-plied to classify the extracted features.The method by the experimental data of 14 kinds of common Android mal-ware families was verified and was compared against the DREBIN on the same dataset.The experimental results show that the proposed method has high detection precision and low false positive rate.http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2016.00066Androidmalware familyimage texturebytecode |
spellingShingle | Yi-min YANG Tie-ming CHEN Android malware family classification method based on the image of bytecodeConstruction of MDS matrices 网络与信息安全学报 Android malware family image texture bytecode |
title | Android malware family classification method based on the image of bytecodeConstruction of MDS matrices |
title_full | Android malware family classification method based on the image of bytecodeConstruction of MDS matrices |
title_fullStr | Android malware family classification method based on the image of bytecodeConstruction of MDS matrices |
title_full_unstemmed | Android malware family classification method based on the image of bytecodeConstruction of MDS matrices |
title_short | Android malware family classification method based on the image of bytecodeConstruction of MDS matrices |
title_sort | android malware family classification method based on the image of bytecodeconstruction of mds matrices |
topic | Android malware family image texture bytecode |
url | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2016.00066 |
work_keys_str_mv | AT yiminyang androidmalwarefamilyclassificationmethodbasedontheimageofbytecodeconstructionofmdsmatrices AT tiemingchen androidmalwarefamilyclassificationmethodbasedontheimageofbytecodeconstructionofmdsmatrices |