Image steganalysis with binary similarity measures

Ismail Avcibas, Nasir Memon, Bülent Sankur

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present a novel technique for steganalysis of images that have been subjected to Least Significant Bit (LSB) type steganographic algorithms. The seventh and eight bit planes in an image are used for the computation of several binary similarity measures. The basic idea is that, the correlation between the bit planes as well the binary texture characteristics within the bit planes will differ between a stego-image and a cover-image. These telltale marks can be used to construct a steganalyzer, that is, a multivariate regression scheme to detect the presence of a steganographic message in an image.

Original languageEnglish (US)
Title of host publicationIEEE International Conference on Image Processing
Volume3
StatePublished - 2002
EventInternational Conference on Image Processing (ICIP'02) - Rochester, NY, United States
Duration: Sep 22 2002Sep 25 2002

Other

OtherInternational Conference on Image Processing (ICIP'02)
CountryUnited States
CityRochester, NY
Period9/22/029/25/02

Fingerprint

Textures

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Electrical and Electronic Engineering

Cite this

Avcibas, I., Memon, N., & Sankur, B. (2002). Image steganalysis with binary similarity measures. In IEEE International Conference on Image Processing (Vol. 3)

Image steganalysis with binary similarity measures. / Avcibas, Ismail; Memon, Nasir; Sankur, Bülent.

IEEE International Conference on Image Processing. Vol. 3 2002.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Avcibas, I, Memon, N & Sankur, B 2002, Image steganalysis with binary similarity measures. in IEEE International Conference on Image Processing. vol. 3, International Conference on Image Processing (ICIP'02), Rochester, NY, United States, 9/22/02.
Avcibas I, Memon N, Sankur B. Image steganalysis with binary similarity measures. In IEEE International Conference on Image Processing. Vol. 3. 2002
Avcibas, Ismail ; Memon, Nasir ; Sankur, Bülent. / Image steganalysis with binary similarity measures. IEEE International Conference on Image Processing. Vol. 3 2002.
@inproceedings{948b09e7282448cdabaad63be2d2387a,
title = "Image steganalysis with binary similarity measures",
abstract = "We present a novel technique for steganalysis of images that have been subjected to Least Significant Bit (LSB) type steganographic algorithms. The seventh and eight bit planes in an image are used for the computation of several binary similarity measures. The basic idea is that, the correlation between the bit planes as well the binary texture characteristics within the bit planes will differ between a stego-image and a cover-image. These telltale marks can be used to construct a steganalyzer, that is, a multivariate regression scheme to detect the presence of a steganographic message in an image.",
author = "Ismail Avcibas and Nasir Memon and B{\"u}lent Sankur",
year = "2002",
language = "English (US)",
volume = "3",
booktitle = "IEEE International Conference on Image Processing",

}

TY - GEN

T1 - Image steganalysis with binary similarity measures

AU - Avcibas, Ismail

AU - Memon, Nasir

AU - Sankur, Bülent

PY - 2002

Y1 - 2002

N2 - We present a novel technique for steganalysis of images that have been subjected to Least Significant Bit (LSB) type steganographic algorithms. The seventh and eight bit planes in an image are used for the computation of several binary similarity measures. The basic idea is that, the correlation between the bit planes as well the binary texture characteristics within the bit planes will differ between a stego-image and a cover-image. These telltale marks can be used to construct a steganalyzer, that is, a multivariate regression scheme to detect the presence of a steganographic message in an image.

AB - We present a novel technique for steganalysis of images that have been subjected to Least Significant Bit (LSB) type steganographic algorithms. The seventh and eight bit planes in an image are used for the computation of several binary similarity measures. The basic idea is that, the correlation between the bit planes as well the binary texture characteristics within the bit planes will differ between a stego-image and a cover-image. These telltale marks can be used to construct a steganalyzer, that is, a multivariate regression scheme to detect the presence of a steganographic message in an image.

UR - http://www.scopus.com/inward/record.url?scp=0036448130&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0036448130&partnerID=8YFLogxK

M3 - Conference contribution

VL - 3

BT - IEEE International Conference on Image Processing

ER -