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Suitability Of Lacunarity Measure For Blind Steganalysis, Ahmed Ibrahim
Suitability Of Lacunarity Measure For Blind Steganalysis, Ahmed Ibrahim
Australian Digital Forensics Conference
Blind steganalysis performance is influenced by several factors including the features used for classification. This paper investigates the suitability of using lacunarity measure as a potential feature vectorfor blind steganalysis. Differential Box Counting (DBC) based lacunarity measure has been employed using the traditional sequential grid (SG) and a new radial strip (RS) approach. The performance of the multi-class SVM based classifier was unfortunately not what was expected. However, the findings show that both the SG and RS lacunarity produce enough discriminating features that warrant further research.