Computer Science ›› 2019, Vol. 46 ›› Issue (6): 174-179.doi: 10.11896/j.issn.1002-137X.2019.06.026

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Two-phase Image Steganalysis Algorithm Based on Artificial Bee Colony Algorithm

MU Xiao-fang1, DENG Hong-xia2, LI Xiao-bin3, ZHAO Peng4   

  1. (Department of Computer Science,Taiyuan Normal University,Taiyuan 030619,China)1
    (College of Information and Computer,Taiyuan University of Technology,Taiyuan 030024,China)2
    (School of Computer Science and Engineering,Beihang University,Beijing 100191,China)3
    (Chinese Academy of Social Sciences,Beijing 100732,China)4
  • Received:2018-11-20 Published:2019-06-24

Abstract: In order to improve the detection accuracy of the image steganalysis,this paper proposed a two-phase image steganalysis algorithm based on Artificial Bee Colony.In the first phase,steganography pattern detection algorithm based on fuzzy theory is designed to discover steganography content of some known steganography algorithms.In the second phase,dual features of regions and density of stego images are analyzed based on Artificial Bee Colony algorithm,and the embedded content of unknown steganography algorithms is analyzed by dual features.Experimental results on the public steganography images show that the proposed algorithm performs high detection accuracy,and it has desirable computational efficiency.

Key words: Adjacent pixels, Artificial Bee Colony algorithm, Fuzzy theory, Image steganalysis, Multi-feature analysis

CLC Number: 

  • TP391
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