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The Watermarking Model for Relational Database Based on Watermarking Sharing
Pasadena, California, USA December 18-December 20
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IIH-MSP.2006.1652006 International Conference on Inte ...
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Cong Jin, Yu Fu, Feng Tao, "The Watermarking Model for Relational Database Based on Watermarking Sharing," Intelligent Information Hiding and Multimedia Signal Processing, International Conference on, pp. 677-680, 2006 International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP'06), 2006.
 
 
BibTex
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@article{ 10.1109/IIH-MSP.2006.165,
author = {Cong Jin and Yu Fu and Feng Tao},
title = {The Watermarking Model for Relational Database Based on Watermarking Sharing},
journal ={Intelligent Information Hiding and Multimedia Signal Processing, International Conference on},
volume = {0},
year = {2006},
isbn = {0-7695-2745-0},
pages = {677-680},
doi = {http://doi.ieeecomputersociety.org/10.1109/IIH-MSP.2006.165},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Intelligent Information Hiding and Multimedia Signal Processing, International Conference on
TI - The Watermarking Model for Relational Database Based on Watermarking Sharing
SN - 0-7695-2745-0
SP677
EP680
A1 - Cong Jin,
A1 - Yu Fu,
A1 - Feng Tao,
PY - 2006
KW - null
VL - 0
JA - Intelligent Information Hiding and Multimedia Signal Processing, International Conference on
ER -
 
Cong Jin, Central China Normal University, China
Yu Fu, Central China Normal University, China
Feng Tao, Central China Normal University, China
In this paper we propose a conceptual framework for relational database based on secret sharing technology. We offer a technique to break the main secret into multiple parts and hide them individually in a relational database. The Lagrange Interpolating Polynomial method is used to recover the shared secret. The (k, n) threshold scheme is used to decide the minimum number of parts required to recover the secret data completely. Through deep data analysis, experimental results show how the proposed scheme can offer robust mechanism to protect data loss especially for the tuples deleting.
Citation:
Cong Jin, Yu Fu, Feng Tao, "The Watermarking Model for Relational Database Based on Watermarking Sharing," iih-msp, pp.677-680, 2006 International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP'06), 2006
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