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...

Full description

Saved in:
Bibliographic Details
Main Authors: Yi-min YANG, Tie-ming CHEN
Format: Article
Language:English
Published: POSTS&TELECOM PRESS Co., LTD 2016-06-01
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.2016.00066
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1841530408890531840
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