吉林大学学报(工学版) ›› 2017, Vol. 47 ›› Issue (6): 1894-1902.doi: 10.13229/j.cnki.jdxbgxb201706030

• Orginal Article • Previous Articles     Next Articles

Software recognition based on features of data dependency

LUO Yang-xia1, 2, GUO Ye1   

  1. 1.School of Information, Xi'an University of Finance and Economics, Xi'an 710100, China;
    2.China(Xi'an)Institute for Silk Road Research, Xi'an 710100, China
  • Received:2016-06-27 Online:2017-11-20 Published:2017-11-20

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Abstract: The software features based on data stream slice are studied, and a new algorithm and evaluation system are proposed for software identification. The definitions about the algorithm, such as data flow, relationship between topological sort, similarity comparison, etc., are given. The key steps of the algorithm are elaborated, including the data dependencies, the structure and reduction of the data dependency graph, the process of relationship topology sorting. Finally, the algorithm and data flow evaluation system of software feature are implemented. System implementation and experiment analysis demonstrate that the research data analysis and theoretical derivation mutually authenticate. The proposed algorithm and evaluation system has theoretical and practical significance for promotion research of software recognition based on software features.

Key words: computer software, software protection, software feature, data flow, data dependency, feature recognition

CLC Number: 

  • TP309
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