Document Type
Thesis
Date of Award
Spring 5-31-2015
Degree Name
Master of Science in Electrical Engineering - (M.S.)
Department
Electrical and Computer Engineering
First Advisor
Yun Q. Shi
Second Advisor
Edwin Hou
Third Advisor
Diqun Yan
Abstract
Steganography is the science and art of embedding hidden messages into cover multimedia such as text, image, audio and video. Steganalysis is the counterpart of steganography, which wants to identify if there is data hidden inside a digital medium. In this study, some specific steganographic schemes such as HUGO and LSB are studied and the steganalytic schemes developed to steganalyze the hidden message are studied. Furthermore, some new approaches such as deep learning and game theory, which have seldom been utilized in steganalysis before, are studied. In the rest of thesis study some steganalytic schemes using textural features including the LDP and LTP have been implemented.
Recommended Citation
Pan, Xinlei, "Review of steganalysis of digital images" (2015). Theses. 240.
https://digitalcommons.njit.edu/theses/240