Malware prediction technique based on program gene

With the development of Internet technology,malicious programs have risen explosively.In the face of executable files without source,the current mainstream malware detection uses feature detection based on similarity,with lack of analysis of malicious sources.To resolve this status,the definition of...

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Main Authors: Da XIAO, Bohan LIU, Baojiang CUI, Xiaochen WANG, Suoxing ZHANG
Format: Article
Language:English
Published: POSTS&TELECOM PRESS Co., LTD 2018-08-01
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.2018069
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author Da XIAO
Bohan LIU
Baojiang CUI
Xiaochen WANG
Suoxing ZHANG
author_facet Da XIAO
Bohan LIU
Baojiang CUI
Xiaochen WANG
Suoxing ZHANG
author_sort Da XIAO
collection DOAJ
description With the development of Internet technology,malicious programs have risen explosively.In the face of executable files without source,the current mainstream malware detection uses feature detection based on similarity,with lack of analysis of malicious sources.To resolve this status,the definition of program gene was raised,a generic method of extracting program gene was designed,and a malicious program prediction method was proposed based on program gene.Utilizing machine learning and deep-learning algorithms,the forecasting system has good prediction ability,with the accuracy rate of 99.3% in the deep-learning model,which validates the role of program gene theory in the field of malicious program analysis.
format Article
id doaj-art-e26206980f4344bd9da458e45732545e
institution OA Journals
issn 2096-109X
language English
publishDate 2018-08-01
publisher POSTS&TELECOM PRESS Co., LTD
record_format Article
series 网络与信息安全学报
spelling doaj-art-e26206980f4344bd9da458e45732545e2025-08-20T02:37:38ZengPOSTS&TELECOM PRESS Co., LTD网络与信息安全学报2096-109X2018-08-014213059553969Malware prediction technique based on program geneDa XIAOBohan LIUBaojiang CUIXiaochen WANGSuoxing ZHANGWith the development of Internet technology,malicious programs have risen explosively.In the face of executable files without source,the current mainstream malware detection uses feature detection based on similarity,with lack of analysis of malicious sources.To resolve this status,the definition of program gene was raised,a generic method of extracting program gene was designed,and a malicious program prediction method was proposed based on program gene.Utilizing machine learning and deep-learning algorithms,the forecasting system has good prediction ability,with the accuracy rate of 99.3% in the deep-learning model,which validates the role of program gene theory in the field of malicious program analysis.http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2018069program genedynamic analysisbasic blockmalware prediction
spellingShingle Da XIAO
Bohan LIU
Baojiang CUI
Xiaochen WANG
Suoxing ZHANG
Malware prediction technique based on program gene
网络与信息安全学报
program gene
dynamic analysis
basic block
malware prediction
title Malware prediction technique based on program gene
title_full Malware prediction technique based on program gene
title_fullStr Malware prediction technique based on program gene
title_full_unstemmed Malware prediction technique based on program gene
title_short Malware prediction technique based on program gene
title_sort malware prediction technique based on program gene
topic program gene
dynamic analysis
basic block
malware prediction
url http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2018069
work_keys_str_mv AT daxiao malwarepredictiontechniquebasedonprogramgene
AT bohanliu malwarepredictiontechniquebasedonprogramgene
AT baojiangcui malwarepredictiontechniquebasedonprogramgene
AT xiaochenwang malwarepredictiontechniquebasedonprogramgene
AT suoxingzhang malwarepredictiontechniquebasedonprogramgene