Journal of Applied Sciences ›› 2016, Vol. 34 ›› Issue (6): 670-676.doi: 10.3969/j.issn.0255-8297.2016.06.003

• Signal and Information Processing • Previous Articles     Next Articles

JPEG Steganalysis Based on LSB Detection and Enhanced Features

ZHENG Guo-hua, FENG Guo-rui, YU Jiang, CHENG Hang, ZHANG Xin-peng   

  1. School of Communication and Information Engineering, Shanghai University, Shanghai 200444, China
  • Received:2015-08-17 Revised:2015-11-17 Online:2016-11-30 Published:2016-11-30

Abstract:

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

CLC Number: