Date of Award

5-18-2007

Degree Type

Thesis

Degree Name

M.S.

Degree Program

Computer Science

Department

Computer Science

Major Professor

Richard, Golden

Second Advisor

Roussev, Vassil

Third Advisor

Nino, Jaime

Abstract

Steganography is the art of hiding information within cover objects like images or audio/video files. It has been widely reported that there has been a surge in the use of steganography for criminal activities and therefore, implementing effective detection techniques is an essential task in digital forensics. Unfortunately, building a single effective detection technique still remains one of the biggest challenges. This report presents a comparative study of three steganalysis techniques. We investigated and compared the performances of each technique in the detection of embedding methods considered. Based on the results of our analysis, we provide information as to which specific steganalysis technique needs to be used for a particular steganographic method. Finally, we propose a procedure which may help a forensic examiner to decide an order in which different steganalysis techniques need to be considered in the detection process to achieve the best detection results in terms of both time and accuracy.

Rights

The University of New Orleans and its agents retain the non-exclusive license to archive and make accessible this dissertation or thesis in whole or in part in all forms of media, now or hereafter known. The author retains all other ownership rights to the copyright of the thesis or dissertation.

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