Defending against Additive Attacks with Maximal Errors in Watermarking Relational Databases

Recently, several database watermarking techniques have been developed to fight against database piracy. In watermarking, a database owner’s identification information is embedded into a database such that proof of ownership can be established by detecting the information in pirated data. However, m...

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Main Authors: LI, Yingjiu, Swarup, Vipin, Jajodia, Sushil
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Language:English
Published: Institutional Knowledge at Singapore Management University 2004
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Online Access:https://ink.library.smu.edu.sg/sis_research/580
http://dx.doi.org/10.1007/1-4020-8128-6_6
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spelling sg-smu-ink.sis_research-15792010-09-24T08:24:04Z Defending against Additive Attacks with Maximal Errors in Watermarking Relational Databases LI, Yingjiu Swarup, Vipin Jajodia, Sushil Recently, several database watermarking techniques have been developed to fight against database piracy. In watermarking, a database owner’s identification information is embedded into a database such that proof of ownership can be established by detecting the information in pirated data. However, most watermarking systems are vulnerable to the severe threat of additive attacks and this threat has not been studied formally. In an additive attack, a pirate inserts an additional watermark such that the proof of ownership becomes ambiguous. In this paper, we present an effective approach to defending against additive attacks. Our strategy is to raise the errors introduced during watermark insertion to a predetermined threshold such that any additive attack would introduce more errors than the threshold. Exceeding the error threshold means that the pirated data is less useful or less competitive; thus, the owner does not need to claim ownership for such pirated data. 2004-07-01T07:00:00Z text https://ink.library.smu.edu.sg/sis_research/580 info:doi/10.1007/1-4020-8128-6_6 http://dx.doi.org/10.1007/1-4020-8128-6_6 Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Information Security
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Information Security
spellingShingle Information Security
LI, Yingjiu
Swarup, Vipin
Jajodia, Sushil
Defending against Additive Attacks with Maximal Errors in Watermarking Relational Databases
description Recently, several database watermarking techniques have been developed to fight against database piracy. In watermarking, a database owner’s identification information is embedded into a database such that proof of ownership can be established by detecting the information in pirated data. However, most watermarking systems are vulnerable to the severe threat of additive attacks and this threat has not been studied formally. In an additive attack, a pirate inserts an additional watermark such that the proof of ownership becomes ambiguous. In this paper, we present an effective approach to defending against additive attacks. Our strategy is to raise the errors introduced during watermark insertion to a predetermined threshold such that any additive attack would introduce more errors than the threshold. Exceeding the error threshold means that the pirated data is less useful or less competitive; thus, the owner does not need to claim ownership for such pirated data.
format text
author LI, Yingjiu
Swarup, Vipin
Jajodia, Sushil
author_facet LI, Yingjiu
Swarup, Vipin
Jajodia, Sushil
author_sort LI, Yingjiu
title Defending against Additive Attacks with Maximal Errors in Watermarking Relational Databases
title_short Defending against Additive Attacks with Maximal Errors in Watermarking Relational Databases
title_full Defending against Additive Attacks with Maximal Errors in Watermarking Relational Databases
title_fullStr Defending against Additive Attacks with Maximal Errors in Watermarking Relational Databases
title_full_unstemmed Defending against Additive Attacks with Maximal Errors in Watermarking Relational Databases
title_sort defending against additive attacks with maximal errors in watermarking relational databases
publisher Institutional Knowledge at Singapore Management University
publishDate 2004
url https://ink.library.smu.edu.sg/sis_research/580
http://dx.doi.org/10.1007/1-4020-8128-6_6
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