Title :
The role of permutation coding in minimum-distortion perfect counterforensics
Author_Institution :
Sch. of Comput. Sci. & Inf., Univ. Coll. Dublin, Dublin, Ireland
Abstract :
This paper exploits the connection between minimum-distortion perfect counterforensics and maximum-rate perfect steganography in order to provide the optimum solution to the first of these problems, in the case in which the forensic detector solely uses first-order statistics. The solution relies on Slepian´s variant I permutation codes, which had previously been shown to implement maximum-rate perfect steganography when the host is memoryless (equivalently, when the steganographic detector only uses first-order statistics). Additionally, we demonstrate a blind counterforensic strategy made possible by permutation decoding, which may also find application in image processing.
Keywords :
image coding; image forensics; statistical analysis; steganography; Slepians variant I permutation codes; blind counterforensic strategy; first-order statistics; forensic detector; image processing; maximum-rate perfect steganography; minimum-distortion perfect counterforensics; permutation coding; permutation decoding; steganographic detector; Decoding; Detectors; Forensics; Forgery; Histograms; Image coding; Vectors; Counterforensics; histogram specification; histogram-based forensics; permutation coding; steganography;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location :
Florence
DOI :
10.1109/ICASSP.2014.6854804