A Blind Steganalysis on JPEG Gray Level Image Based on Statistical Features and its Performance Analysis

نویسندگان

  • Swagota Bera
  • Monisha Sharma
چکیده

This paper presents a blind steganalysis technique to effectively attack the JPEG steganographic schemes i.e. Jsteg, F5, Outguess and DWT Based. The proposed method exploits the correlations between block-DCTcoefficients from intra-block and inter-block relation and the statistical moments of characteristic functions of the test image is selected as features. The features are extracted from the BDCT JPEG 2-array. Support Vector Machine with cross-validation is implemented for the classification.The proposed scheme gives improved outcome in attacking.

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تاریخ انتشار 2015