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应用科学学报 ›› 2012, Vol. 30 ›› Issue (4): 335-342.doi: 10.3969/j.issn.0255-8297.2012.04.002

• 信号与信息处理 • 上一篇    下一篇

基于组合赋权及TOPSIS 的隐写分析算法综合评估

李开达， 张涛， 平西建， 李星   

  1. 信息工程大学信息工程学院，郑州450002
  • 收稿日期:2011-04-14 修回日期:2011-07-04 出版日期:2012-07-23 发布日期:2012-07-25
  • 作者简介:张涛，博士，副教授，研究方向：信息隐藏、图像处理、模式识别，E-mail：brunda@163.com；平西建，教授，博导，研究方向：图像处理、模式识别、计算机视觉、信息隐藏等，E-mail：pingxj@126.com
  • 基金资助:

    国家自然科学基金(No.60903221)资助

Comprehensive Performance Evaluation of Steganalysis Based on Combination Weight and TOPSIS

LI Kai-da, ZHANG Tao, PING Xi-jian, LI Xing   

  1. Institute of Information Engineering, Information Engineering University, Zhengzhou 450002, China
  • Received:2011-04-14 Revised:2011-07-04 Online:2012-07-23 Published:2012-07-25

PDF

1096

被引次数

6

摘要：

分析了隐写分析技术在不同背景下的应用需求，提出了一种基于组合赋权及逼近理想解排序法(technique for order preference by similarity to ideal solution, TOPSIS)的隐写分析算法性能评估方法. 该方法包含检测率、虚警率、可靠性、检测误差及算法运行速度等5 个指标，先用熵权法确定指标权重，再根据层次分析法进行主观赋权，最后用TOPSIS 实现对隐写分析算法的综合评估. 实验结果表明，该方法可针对不同的性能指标要求选出最优的隐写分析算法，且对隐写分析算法性能的改进具有指导意义.

关键词: 性能综合评估, 熵权法, 层次分析法, 逼近理想解排序方法, 隐写分析

Abstract:

 According to the different requirement of different applied fields of steganalysis, this paper proposes
a steganalysis algorithm comprehensive evaluation method based on combination weight and TOPSIS.
The method contains five performance indexes including true positive rate, false positive rate, reliability, detection
error and detection speed. First, the entropy weight is put forward to give weights, then considering
the defect of entropy weight and the estimator’s experience and intent, the AHP is used to give subjective
weights, then the final weights are given by assembled weighting method. The evaluation and comparison
to performance of steganalysis algorithm are implemented by using TOPSIS algorithm. Experimental results
show that the evaluation algorithm can not only be applied to choose the best steganalysis method aim to
different requirements of each index in different applications, but also can conduct to improve the steganalysis
algorithm.

Key words: steganalysis, performance comprehensive evaluation, entropy weighted method, analytic hierarchy process, technique for order preference by similarity to ideal solution (TOPSIS)

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