Steganalysis Using Higher-Order Image Statistics

Siwei Lyu and Hany Farid

IEEE Transactions on Information Forensics and Security, 1(1):111-119, 2006

Paper (pdf) bibtex

Techniques for information hiding (steganography) are becoming increasingly more sophisticated and widespread. With high-resolution digital images as carriers, detecting hidden messages is also becoming considerably more difficult. We describe a universal approach to steganalysis for detecting the presence of hidden messages embedded within digital images. We show that, within multi-scale, multi-orientation image decomposi- tions (e.g., wavelets), first- and higher-order magnitude and phase statistics are relatively consistent across a broad range of images, but are disturbed by the presence of embedded hidden messages. We show the efficacy of our approach on a large collection of images, and on eight different steganographic embedding algorithms.