What makes the stego image undetectable?

Songtao Wu, Yan Liu, Shenghua Zhong, Yang Liu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

2 Citations (Scopus)

Abstract

Steganography is the art of hiding information in ways that prevents the detection of hidden messages. Image steganography, which hides messages into a cover image for secret transmission, attracts increasing attention in social media era. Currently, most works focus on designing message embedding algorithms to avoid the stego images being distinguished from normal ones via visual observation or statistical analysis. This paper aims to make the detection of the stego images more difficult by selecting the suitable cover images. We propose a new measure to evaluate the hiding ability of the cover image based on Fisher Information Matrix and Gaussian Mixture Model. Experiments on standard dataset validate that the cover image with good hiding ability can improve the performance of various steganography algorithms obviously. Moreover, the proposed measure provides a statistical explanation of the existing cover image selection techniques and shows better performance against steganalysis.
Original languageEnglish
Title of host publicationICIMCS 2015 - Proceedings of the 7th International Conference on Internet Multimedia Computing and Service
PublisherAssociation for Computing Machinery
Pages28-33
Number of pages6
Volume2015-August
ISBN (Electronic)9781450335287
DOIs
Publication statusPublished - 1 Jan 2015
Event7th International Conference on Internet Multimedia Computing and Service, ICIMCS 2015 - Zhangjiajie Campus of Jishou University, Zhangjiajie, Hunan, China
Duration: 19 Aug 201521 Aug 2015

Conference

Conference7th International Conference on Internet Multimedia Computing and Service, ICIMCS 2015
Country/TerritoryChina
CityZhangjiajie, Hunan
Period19/08/1521/08/15

Keywords

  • Cover image selection
  • Fisher information
  • Gaussian mixture model
  • Steganography

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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