针对自适应隐写的通用隐写分析研究

doi:10.3969/j.issn.0255-8297.2016.05.012

Abstract

Abstract:

Digital image is a popular carrier in steganography. In reality, the specific steganographic algorithm used to hide secrete data is generally unknown. Therefore, universal steganalytic techniques capable of detecting hidden information with unknown steganographic algorithms are important. This paper proposes a universal steganalysis technique against adaptive steganographic algorithms for images. With feature extraction and training, the influence of various adaptive steganographic algorithms on statistical characteristics of the carrier image are captured so that unknown steganographic algorithms can be accurately detected. Experimental results show that high detection accuracy can be obtained even for previously unknown steganographic algorithms.

Key words: steganography, feature extraction, steganalysis

CLC Number:

TP309.7

LIU Ge, HUANG Fang-jun, LI Zhong-hua. Universal Steganalysis against Adaptive Steganographic Algorithms[J]. Journal of Applied Sciences, 2016, 34(5): 598-604.

References

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Universal Steganalysis against Adaptive Steganographic Algorithms

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