Statistically secure digital image data hiding

Palak K. Amin, Ning Liu, K. P. Subbalakshmi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

42 Scopus citations

Abstract

In this paper, we propose a novel discrete cosine transform (DCT) based spread spectrum data-hiding algorithm that provides statistical security. Unlike other spread spectrum based data hiding algorithms, the proposed algorithm does not introduce a low-pass filtering effect in the stego image's histogram, thereby making the presence of hidden data statistically undetectable. The proposed algorithm does not compromise on robustness or capacity to achieve this goal. When compared to the generic block DCT based data-hiding scheme, the proposed algorithm provides a 41% reduction in the relative entropy between the probability mass functions of the host and stego images, thus improving the statistical security of the system. The proposed algorithm is robust against a variety of image manipulating attacks such as noise addition, filtering, blurring, sharpening, JPEG compression etc.

Original languageEnglish
Title of host publication2005 IEEE 7th Workshop on Multimedia Signal Processing, MMSP 2005
DOIs
StatePublished - 2005
Event2005 IEEE 7th Workshop on Multimedia Signal Processing, MMSP 2005 - Shanghai, China
Duration: 30 Oct 20052 Nov 2005

Publication series

Name2005 IEEE 7th Workshop on Multimedia Signal Processing

Conference

Conference2005 IEEE 7th Workshop on Multimedia Signal Processing, MMSP 2005
Country/TerritoryChina
CityShanghai
Period30/10/052/11/05

Keywords

  • Data-hiding
  • Relative entropy
  • Statistical security

Fingerprint

Dive into the research topics of 'Statistically secure digital image data hiding'. Together they form a unique fingerprint.

Cite this