吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (05): 1359-1366.doi: 10.7964/jdxbgxb201305034

• 论文 • 上一篇    下一篇

基于多属性特征胎记的软件盗版检测

罗养霞1,2, 房鼎益1   

  1. 1. 西北大学 信息科学与技术学院, 西安 710120;
    2. 西安财经学院 信息学院, 西安 710100
  • 收稿日期:2013-01-09 出版日期:2013-09-01 发布日期:2013-09-01
  • 通讯作者: 房鼎益(1959- ),男,教授,博士生导师.研究方向:网络与信息安全,无线传感器网络及其应用.E-mail:dyf@nwu.edu.cn E-mail:dyf@nwu.edu.cn
  • 作者简介:罗养霞(1974- ),女,讲师,博士研究生.研究方向:软件安全,系统安全.E-mail:yxluo8836@163.com
  • 基金资助:

    国家自然科学基金项目(61070176,61170218,61272461);国家级大学生创新项目(201211560009);陕西省自然科学基础项目(2012JM8034);陕西省教育厅科研计划项目(2013JK1200).

Software piracy detection based on birthmarks of multi-attribute features

LUO Yang-xia1,2, FANG Ding-yi1   

  1. 1. School of Information Science and Technology, Northwest University, Xi'an 710120, China;
    2. School of Information, Xi'an University of Finance and Economics, Xi'an 710100, China
  • Received:2013-01-09 Online:2013-09-01 Published:2013-09-01

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摘要：

针对传统单属性特征在抗攻击性和检测率方面的不足,提出了基于分类多属性特征的软件盗版检测算法。通过对等价语义变换后的软件集合进行静态分析、提取过滤、分割和度量,最后按相似度构造分类器,在低开销下综合判别未知软件版本信息。给出了算法的描述,刻画了算法的实现过程,实验结果表明,该算法在提高判别的鲁棒性、可信度和抗攻击方面具有适用性,与同类方法比较也具有明显优势。

关键词: 计算机应用, 多属性特征, 分类, 特征度量

Abstract:

To cope with the insufficiency of single-attribute features in anti-aggression and in detecting software theft, an algorithm to detect software piracy is proposed based on classification of multi-attribute features. In order to detect software piracy with better accuracy and lower overhead, after semantics-preserving transformations of the software, the algorithm extracts features by the following steps: disassembly analysis, extraction and selection, segmentation and metrics, construction of classifier according to similarities. The algorithm is described and its implementation is depicted. Experiment results show that the algorithm is feasible in improving the robustness and credibility of identification, and resistance to attacks. It overperforms existing similar methods.

Key words: computer application, multi-attribute features, classification, feature metrics

中图分类号: 

  • TP309

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