A new concept in data hiding: Forbidden zone

Date

2006-01-01

Author

Esen, Ersin
Alatan, Abdullah Aydın

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

173
views

0
downloads

A new concept is introduced to data hiding field. This concept, which is named as Forbidden Zone, corresponds to the region where it is forbidden to alter the host signal. A new data hiding method is devised depending on Forbidden Zone. The proposed method is formulated by using a single control parameter and quantizers. Using uniform source and uniform quantizers the proposed method is theoretically shown to be superior than QIM in 1D. The obtained theoretical result is also verified by experiments.

Subject Keywords

Data encapsulation, Gaussian processes

URI

https://hdl.handle.net/11511/49225

DOI

https://doi.org/10.1109/siu.2006.1659848

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

A new approach to multivariate adaptive regression splines by using Tikhonov regularization and continuous optimization TAYLAN, PAKİZE; Weber, Gerhard Wilhelm; Ozkurt, Fatma Yerlikaya (2010-12-01) This paper introduces a model-based approach to the important data mining tool Multivariate adaptive regression splines (MARS), which has originally been organized in a more model-free way. Indeed, MARS denotes a modern methodology from statistical learning which is important in both classification and regression, with an increasing number of applications in many areas of science, economy and technology. It is very useful for high-dimensional problems and shows a great promise for fitting nonlinear multivar...
Effective training set sampling strategy for SVDD anomaly detection in hyperspectral imagery Ergul, Mustafa; Sen, Nigar; Okman, O. Erman (2014-05-07) Anomaly detection (AD) is an important application for target detection in remotely sensed hyperspectral data. Therefore, variety kinds of methods with different advantages and drawbacks have been proposed for past two decades. Recently, the kernelized support vector data description (SVDD) based anomaly detection approaches has become popular as these methods avoid prior assumptions about the distribution of data and provides better generalization to characterize the background. The global SVDD needs a tra...
Comparison of Quantization Index Modulation and Forbidden Zone Data Hiding for Compressed Domain Video Data Hiding Esen, Ersin; Dogan, Zafer; Ates, Tugrul K.; Alatan, Abdullah Aydın (2009-01-01) Data hiding is now a part of daily life through various applications. In this work, we apply two data hiding methods, Quantization Index Modulation and Forbidden Zone Data Hiding, to video applications. We place these methods into a general video data hiding scheme and compare their performance against compression attacks. The results of the experiments with typical TV content indicate the superiority of FZDH, specifically for powerful attacks.
A novel method for electromagnetic target classification using the music algorithm: Applied to small-scale aircraft targets Secmen, Mustafa; Sayan, Gönül (2006-01-01) This paper introduces a novel target classification method based on the extraction of target features by using natural response related late-time electromagnetic scattered field data. In the feature extraction stage, the use of multiple signal classification (MUSIC) algorithm together with a simple but effective feature fusion approach leads to a significant reduction in the sensitivity of classification accuracy to both aspect angle variations and the signal-to-noise ratio (SNR) levels of the data. Another...
An approach for decentralized process modeling Turetken, Oktay; Demirörs, Onur (2007-05-20) This paper describes a method for organizations to perform process modeling in a decentralized and concurrent manner. The approach is based on the idea that modeling organizations' processes can be performed by individuals actually performing the processes. Instead of having a central and devoted group of people to analyze, understand, model and improve processes, real performers are held responsible to model and improve their own processes concurrently. The paper also summarizes the lessons learned by appl...

Citation Formats

E. Esen and A. A. Alatan, “A new concept in data hiding: Forbidden zone,” 2006, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/49225.