NDLI: Stego-Breaker: Defeating the Steganographic Systems through Genetic-X-Means approach using Image Quality Metrics

Content Provider	IEEE Xplore Digital Library
Author	Geetha, S. Sindhu, S. Kamaraj, N.
Copyright Year	2008
Description	Author affiliation: Dept. of Electr. & Electron. Eng., Thiagarajar Coll. of Eng., Madurai (Kamaraj, N.) \|\| Dept. of Inf. Technol., Thiagarajar Coll. of Eng., Madurai (Geetha, S.; Sindhu, S.)
Abstract	Steganography is used to hide the occurrence of communication. This creates a potential problem when this technology is misused for planning criminal activities. Differentiating anomalous images (stego image) from pure images (cover image) is difficult and tedious. This paper investigates the use of a Genetic-X-means classifier, which distinguishes a pure image from the adulterated one. The basic idea is that, the various Image Quality Metrics (IQMs) calculated on cover images and on stego-images vis-a-vis their denoised versions, are statistically different. Our model employs these IQMs to steganalyse the image data. Genetic paradigm is exploited to select the IQMs that are sensitive to various embedding techniques. The classifier between cover and stego-files is built using X-means clustering on the selected feature set. The presented method can not only detect the presence of hidden message but also identify the hiding domains. The experimental results show that the combination strategy (Genetic-X-means) can improve the classification precision even with lesser payload compared to the traditional ANN (Back Propagation Network).
Starting Page	382
Ending Page	391
File Size	264377
Page Count	10
File Format	PDF
ISBN	9781424429622
DOI	10.1109/ADCOM.2008.4760477
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-14
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image Steganalysis Humans Network Security Educational institutions Genetic-X-Means Algorithm Technology planning Information technology Image quality Steganography Image Quality Metrics Bandwidth Genetic engineering IP networks Payloads
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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