Abstract
dc:description.abstractSteganography 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.
Degree
thesis:*- Name thesis:degree_name
- Master of Science in Electrical Engineering - (M.S.)
- Discipline thesis:degree_discipline
- Electrical and Computer Engineering
- Year
- 2015
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Pan, Xinlei
- Contributors dc:contributor
-
- Yun Q. Shi
- Edwin Hou
- Diqun Yan
Subjects
dc:subject × 3Identifiers
dc:identifier.*- Repository record dc:identifier
- https://digitalcommons.njit.edu/theses/240
- OAI identifier oai:identifier
- oai:digitalcommons.njit.edu:theses-1239