Application of hypothesis testing theory for optimal detection of LSB matching data hiding

  • Authors:
  • Rémi Cogranne;Florent Retraint

  • Affiliations:
  • ICD - LM2S - Université de Technologie de Troyes - UMR STMR CNRS, 12, rue Marie Curie, B.P. 2060, 10010 Troyes Cedex, France;ICD - LM2S - Université de Technologie de Troyes - UMR STMR CNRS, 12, rue Marie Curie, B.P. 2060, 10010 Troyes Cedex, France

  • Venue:
  • Signal Processing
  • Year:
  • 2013

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Abstract

This paper addresses the problem of detecting the presence of data hidden in digital media by the Least Significant Bit (LSB) matching scheme. In a theoretical context of known digital medium parameters, two important results are presented. First, the use of hypothesis testing theory allows the design of the Most Powerful (MP) test. Second, a study of the MP test provides the opportunity to analytically calculate its statistical properties in order to warrant a given probability of false-alarm. In practice when detecting LSB matching, the unknown medium parameters have to be estimated. Based on a local model of medium content, two different estimations which lead to two different tests are present. A numerical comparison with state-of-the-art detectors shows the good performance of the proposed tests and highlights the relevance of the proposed methodology.