Secure Cover Selection Steganography

Authors:
Hedieh Sajedi;Mansour Jamzad
Affiliations:
Computer Engineering Department, Sharif university of Technology, Tehran, Iran;Computer Engineering Department, Sharif university of Technology, Tehran, Iran
Venue:
ISA '09 Proceedings of the 3rd International Conference and Workshops on Advances in Information Security and Assurance
Year:
2009

Citing 12
Cited 0

A Tutorial on Support Vector Machines for Pattern Recognition

Data Mining and Knowledge Discovery
Ensemble Methods in Machine Learning

MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems
Detecting Hidden Messages Using Higher-Order Statistics and Support Vector Machines

IH '02 Revised Papers from the 5th International Workshop on Information Hiding
Perturbed quantization steganography with wet paper codes

Proceedings of the 2004 workshop on Multimedia and security
Boosting SVM classifiers by ensemble

WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
Image steganalysis with binary similarity measures

EURASIP Journal on Applied Signal Processing
Statistically undetectable jpeg steganography: dead ends challenges, and opportunities

Proceedings of the 9th workshop on Multimedia & security
Cover Selection Steganography Method Based on Similarity of Image Blocks

CITWORKSHOPS '08 Proceedings of the 2008 IEEE 8th International Conference on Computer and Information Technology Workshops
A Steganalysis Method Based on Contourlet Transform Coefficients

IIH-MSP '08 Proceedings of the 2008 International Conference on Intelligent Information Hiding and Multimedia Signal Processing
YASS: yet another steganographic scheme that resists blind steganalysis

IH'07 Proceedings of the 9th international conference on Information hiding
Feature-Based steganalysis for JPEG images and its implications for future design of steganographic schemes

IH'04 Proceedings of the 6th international conference on Information Hiding
A framework for evaluating the data-hiding capacity of image sources

IEEE Transactions on Image Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a cover selection steganography method based on introduction of a technique for computing steganography capacity as a property of images. An ensemble system that uses different steganalyzer units, determines the upper bound of embedding rate in a cover image. In this technique, each steganalyzer unit is a combination of multiple steganalyzers with a same type but each one trained to detect stego images with a certain payload. Our proposed method minimizes the risk of detection by selecting a proper cover image that its steganography capacity is sufficient to hide a specific secret data securely. Experimental results demonstrate the efficiency and practicability of the proposed technique in enhancing the security of stego images.