Chinese Journal of Network and Information Security ›› 2018, Vol. 4 ›› Issue (8): 21-30.doi: 10.11959/j.issn.2096-109x.2018069

• Papers • Previous Articles     Next Articles

Malware prediction technique based on program gene

Da XIAO1,2,Bohan LIU1,2,Baojiang CUI1,2(),Xiaochen WANG1,2,Suoxing ZHANG1,2   

  1. 1 School of Cyberspace Security,Beijing University of Post and Telecommunications,Beijing 100876,China
    2 National Engineering Lab for Mobile Network Security,Beijing 100876,China
  • Revised:2018-07-20 Online:2018-08-01 Published:2018-10-12
  • Supported by:
    The National Natural Science Foundation of China(U1536122);The National Natural Science Foundation of China(61502536)


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.

Key words: program gene, dynamic analysis, basic block, malware prediction

CLC Number: 

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