BIB-VERSION:: CS-TR-v2.0 ID:: ncstrl.dartmouthcs//TR2001-412 ENTRY:: September 02, 2001 ORGANIZATION:: Dartmouth College, Computer Science TITLE:: Detecting Steganographic Messages in Digital Images TYPE:: Technical Report (paper) REVISION:: 1 AUTHOR:: Farid, Hany DATE:: September 2001 RETRIEVAL:: For a paper copy, email RETRIEVAL:: For a paper copy, write to Technical Report Librarian Department of Computer Science Dartmouth College 6211 Sudikoff Laboratory Hanover, NH 03755-3510 USA RETRIEVAL:: Compressed Postscript at http://www.cs.dartmouth.edu/reports/TR2001-412.ps.Z RETRIEVAL:: PDF at http://www.cs.dartmouth.edu/reports/TR2001-412.pdf ABSTRACT:: Techniques and applications for information hiding have become increasingly more sophisticated and widespread. With high-resolution digital images as carriers, detecting the presence of hidden messages has also become considerably more difficult. It is sometimes possible, nevertheless, to detect (but not necessarily decipher) the presence of embedded messages. The basic approach taken here works by finding predictable higher-order statistics of ``natural'' images within a multi-scale decomposition, and then showing that embedded messages alter these statistics. END:: ncstrl.dartmouthcs//TR2001-412