Feature Selection for Software Birthmark Based on Cluster Analysis

LUO Yang-xia; FANG Ding-yi

doi:10.3969/j.issn.0372-2112.2013.12.003

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Feature Selection for Software Birthmark Based on Cluster Analysis

更新时间：2025-07-16

- Feature Selection for Software Birthmark Based on Cluster Analysis
- Acta Electronica Sinica Vol. 41, Issue 12, Pages: 2334-2338(2013)
- 作者机构：
  
  1. 西安财经学院信息学院,陕西,西安,710100
  2. 西北大学信息科学与技术学院,陕西,西安,710127
  3. 西安财经学院信息学院,陕西,西安,710100
  4. 西北大学信息科学与技术学院,陕西,西安,710127
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.61070176, No.61170218, No.61272461);National University Student Innovation Program (No.201311560008);Program of Research Project of Education Department of Shaanxi Province (No.2013JK1200);Natural Science Basic Research Priorities Program of Shaanxi Province (No.2012JM8034);Industrialization Project of Shaaxi Education Department (No.2011JG06)
- DOI：10.3969/j.issn.0372-2112.2013.12.003
  CLC： TP391.1
- Published：2013
- 稿件说明：
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LUO Yang-xia, FANG Ding-yi. Feature Selection for Software Birthmark Based on Cluster Analysis[J]. Acta Electronica Sinica, 2013, 41(12): 2334-2338.
DOI：

LUO Yang-xia, FANG Ding-yi. Feature Selection for Software Birthmark Based on Cluster Analysis[J]. Acta Electronica Sinica, 2013, 41(12): 2334-2338. DOI： 10.3969/j.issn.0372-2112.2013.12.003.

摘要

软件胎记选择关系着软件的识别率.本文应用约束聚类分析软件特征，基于互信息度量特征的类内和类间距离，以同类和异类软件特征构建信息增益函数和惩罚函数，选择出具有高的类区分信息和最小冗余的软件胎记特征.通过分析和比较表明该算法为软件胎记特征的选择和优化提供了一种有效途径.

Abstract

The feature selection for software birthmark has a direct bearing on software recognition rate.We apply constrained clustering to analyze software features.The within-and between-class distances of features are measured based on mutual information.Information gain and penalty functions are constructed using homogeneous and heterogeneous software features respectively.Then the software birthmark features with high class distinction and minimum redundancy are selected.It is shown the algorithm provide an effective approach for software birthmark feature selection and optimization by analysis and comparison.

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