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Steganography Detection Using Entropy Measures.

ADA586643

Publication Date	2012
Personal Author	Melendez, E.
Page Count	12
Abstract	There are two problems in steganalysis: (1) detecting the existence of a hidden message and (2) decoding the message. As terrorist groups have been known to use steganography in planning their attacks, this has become an important problem of national security. This research proposal is only concerned with the first problem of hidden message detection using steganalysis. The approach is to statistically analyze the least significant bit(s) of each color dimension of each pixel to look for some kind of a pattern. In the absence of a hidden message this should look like random noise. Addition of a hidden message will affect the entropy of the data. This difference should be detectable by comparing the entropy of unaltered picture files with the entropy of files with embedded steganography. For this research freely available software for embedding hidden messages will be used to create sample image files to analyze. For the statistical analysis R Language will be used.
Keywords	Steganography Detection Entropy Message processing Steganalysis Jpeg files
Source Agency	Non Paid ADAS
NTIS Subject Category	62 - Computers, Control & Information Theory
Corporate Authors	Polytechnic Univ. of Puerto Rico, San Juan.
Supplemental Notes	The original document contains color images.
Document Type	Technical Report
Title Note	Technical rept.
NTIS Issue Number	201405
Contract Number	W911NF-11-1-0174

Steganography Detection Using Entropy Measures.

Steganography Detection Using Entropy Measures.
ADA586643

Publication Date	2012
Personal Author	Melendez, E.
Page Count	12
Abstract	There are two problems in steganalysis: (1) detecting the existence of a hidden message and (2) decoding the message. As terrorist groups have been known to use steganography in planning their attacks, this has become an important problem of national security. This research proposal is only concerned with the first problem of hidden message detection using steganalysis. The approach is to statistically analyze the least significant bit(s) of each color dimension of each pixel to look for some kind of a pattern. In the absence of a hidden message this should look like random noise. Addition of a hidden message will affect the entropy of the data. This difference should be detectable by comparing the entropy of unaltered picture files with the entropy of files with embedded steganography. For this research freely available software for embedding hidden messages will be used to create sample image files to analyze. For the statistical analysis R Language will be used.
Keywords	Steganography Detection Entropy Message processing Steganalysis Jpeg files
Source Agency	Non Paid ADAS
NTIS Subject Category	62 - Computers, Control & Information Theory
Corporate Authors	Polytechnic Univ. of Puerto Rico, San Juan.
Supplemental Notes	The original document contains color images.
Document Type	Technical Report
Title Note	Technical rept.
NTIS Issue Number	201405
Contract Number	W911NF-11-1-0174