A steganalysis by adjacency pixel bits structure

  • Authors:
  • Mingwei Tang;Jie Hu;Mingyu Fan;Wen Song

  • Affiliations:
  • School of Mathematics and Computer Science Technology, Xihua University, Chengdu 610039, China and School of Computer Science and Engineering, University of Electronic Science and Technology of Ch ...;School of Information Science and Technology, Southwest Jiaotong University, Chengdu 610031, China;School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China;School of Mathematics and Computer Science Technology, Xihua University, Chengdu 610039, China

  • Venue:
  • Computers and Electrical Engineering
  • Year:
  • 2013

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Abstract

Embedding of confidential data in the least significant bit of an image is still an attractive method of steganography. Utilizing the full capacity of cover images by embedding one bit of data per pixel, using methods such as LSB flipping or LSB matching, usually decreases the security, making the algorithm vulnerable to steganalytic attacks. And then, it is proposed by an efficient high payload +/-1 data embedding scheme(EPES) based on a special two variable binary function. This function uses the information of the least two significant bit planes of the cover image for the embedding and extraction purposes. Rather than randomly selecting +1 or -1, EPES achieves higher embedding efficiencies by choosing the correct modification component. The steganalytic method based on sample pair analysis (SPA) cannot effectively detect EPES. Hence, we propose a steganalysis by constructing adjacency pixel bits structure (SAP). The resulting detection algorithm is simple and fast. Analytical and experimental results demonstrate that the proposed method provides higher detecting efficiency than the other steganalysis.