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Review of steganalysis of digital images

Abstract

dc:description.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.

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 × 3

Identifiers

dc:identifier.*
Repository record dc:identifier
https://digitalcommons.njit.edu/theses/240
OAI identifier oai:identifier
oai:digitalcommons.njit.edu:theses-1239

Chain of custody

source
Harvested from
NJIT
Base URL
digitalcommons.njit.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Pan, Xinlei. Review of steganalysis of digital images. 2015. https://digitalcommons.njit.edu/theses/240