Telecommunications Science ›› 2019, Vol. 35 ›› Issue (7): 115-123.doi: 10.11959/j.issn.1000-0801.2019071

• research and development • Previous Articles     Next Articles

An audio steganography algorithm based on segment-STC

Xueyuan ZHANG,Rangding WANG,Diqun YAN,Yuzhen LIN   

  1. College of Information Science and Engineering, Ningbo University, Ningbo 315211, China
  • Revised:2019-04-20 Online:2019-07-20 Published:2019-07-22
  • Supported by:
    The National Natural Science Foundation of China(U1736215);The National Natural Science Foundation of China(61672302);The Natural Science Foundation of Zhejiang Province of China;Ningbo Natural Science Foundation of China(2017A610123);Ningbo University Fund(XKXL1509);Ningbo University Fund(XKXL1503);Mobile Network Application Technology Key Laboratory of Zhejiang Province(F2018001)

Abstract:

In steganography field, syndrome-trellis code is a state-of-the-art steganography algorithm. A steganography algorithm of Segment-STC was proposed. Segment-STC could locally optimize the distortion by segmentation. Firstly, the LSB-stream (least significant bit, LSB) of audio cover was segmented as few sub-segments. Then, the segmented message in each sub-segment was embedded to the optimal submatrix. The TIMIT dataset and author collected online songs as databases was used to run the experiments. Results show that segment-STC can effectively reduce the number of distortion elements of cover and improve the undetectability of the stego. Segment-STC algorithm can reduce the distortion over 24%, compared with the original STC algorithm. It also has a better imperceptible performance compare with other similar audio steganography algorithms.

Key words: segment-STC, cover-message allocation, optimal submatrix, WAV steganography

CLC Number: 

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