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 language | English (US) |
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Title of host publication | IEEE International Conference on Image Processing |
Volume | 3 |
State | Published - 2002 |
Event | International Conference on Image Processing (ICIP'02) - Rochester, NY, United States Duration: Sep 22 2002 → Sep 25 2002 |
Other
Other | International Conference on Image Processing (ICIP'02) |
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Country/Territory | United States |
City | Rochester, NY |
Period | 9/22/02 → 9/25/02 |
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Hardware and Architecture
- Electrical and Electronic Engineering