JPEG Steganalysis Based on LSB Detection and Enhanced Features
Received date: 2015-08-17
Revised date: 2015-11-17
Online published: 2016-11-30
A method of feature enhancement based on detection of least significant bits of DCT coefficients is proposed to solve the problem of information loss due to truncation operation in the co-occurrence matrix. The DCT coefficient plane is calculated modulotwo to generate the least significant bit plane. Co-occurrence matrices are used to capture correlated features among neighboring coefficients of the least significant bit plane. To enhance the features for detection, Zigzag scan is used to produce a new DCT coefficient plane, and then a co-occurrence matrix is generated based on the new plane. A feature vector with 508 dimensions is extracted using the LIU method. Experimental results show that performance of the extended features is better than those of previous schemes.
Key words： LSB plane; JPEG steganalysis; Zigzag scan
ZHENG Guo-hua, FENG Guo-rui, YU Jiang, CHENG Hang, ZHANG Xin-peng . JPEG Steganalysis Based on LSB Detection and Enhanced Features[J]. Journal of Applied Sciences, 2016 , 34(6) : 670 -676 . DOI: 10.3969/j.issn.0255-8297.2016.06.003
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