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2009 First International Workshop on Database Technology and Applications
A Cluster-Based Watermarking Technique for Relational Database
Wuhan, Hubei, China
April 25-April 26
ISBN: 978-0-7695-3604-0
ASCII Text
x 
 
Kaiyin Huang, Min Yue, Pengfei Chen, Yanshan He, Xiaoyun Chen, "A Cluster-Based Watermarking Technique for Relational Database," Database Technology and Applications, International Workshop on, pp. 107-110, 2009 First International Workshop on Database Technology and Applications, 2009.
 
 
BibTex
x
 
@article{ 10.1109/DBTA.2009.38,
author = {Kaiyin Huang and Min Yue and Pengfei Chen and Yanshan He and Xiaoyun Chen},
title = {A Cluster-Based Watermarking Technique for Relational Database},
journal ={Database Technology and Applications, International Workshop on},
volume = {0},
year = {2009},
isbn = {978-0-7695-3604-0},
pages = {107-110},
doi = {http://doi.ieeecomputersociety.org/10.1109/DBTA.2009.38},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Database Technology and Applications, International Workshop on
TI - A Cluster-Based Watermarking Technique for Relational Database
SN - 978-0-7695-3604-0
SP107
EP110
A1 - Kaiyin Huang,
A1 - Min Yue,
A1 - Pengfei Chen,
A1 - Yanshan He,
A1 - Xiaoyun Chen,
PY - 2009
KW - database watermarking
KW - digital watermarking
KW - cluster
KW - subset partition
VL - 0
JA - Database Technology and Applications, International Workshop on
ER -
 
Database watermarking is an efficient method for database security. This paper proposes a cluster-based database watermarking technique which first applies cluster theory to the database watermarking technology. The cluster theory is used to cluster the source data and the clustering results determine the quantity of embedded watermark information and embedded position. This method makes the watermark information more disperse and hidden. This paper also introduces an odd-even modifying method to denote the watermarking information to decline the modification of original database. The results of experiment show this technique has a good performance on invisibility and is able to defend all kinds of subset attacks.
Index Terms:
database watermarking, digital watermarking, cluster, subset partition
Citation:
Kaiyin Huang, Min Yue, Pengfei Chen, Yanshan He, Xiaoyun Chen, "A Cluster-Based Watermarking Technique for Relational Database," dbta, pp.107-110, 2009 First International Workshop on Database Technology and Applications, 2009
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