We introduce a steganalytic method which takes advantage of statistics that were preserved to prevent the chi-square attack. We show that preserving statistics by skipping certain groups of pixels - apart from reducing the maximum payload - does not diminish the ability to recognise steganographic modifications. The effect is quite reverse: The new detection method works more reliably than the chi-square attack, if the same message was embedded by overwriting least significant bits and straddled over the whole image. © Springer-Verlag 2004.
CITATION STYLE
Böhme, R., & Westfeld, A. (2004). Exploiting Preserved Statistics for Steganalysis. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3200, 82–96. https://doi.org/10.1007/978-3-540-30114-1_7
Mendeley helps you to discover research relevant for your work.