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Publicly verifiable ownership protection for relational databases
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Source ASIAN ACM Symposium on Information, Computer and Communications Security archive
Proceedings of the 2006 ACM Symposium on Information, computer and communications security table of contents
Taipei, Taiwan
SESSION: Database security table of contents
Pages: 78 - 89  
Year of Publication: 2006
ISBN:1-59593-272-0
Authors
Yingjiu Li  Singapore Management University, Singapore
Robert Huijie Deng  Singapore Management University, Singapore
Sponsor
SIGSAC: ACM Special Interest Group on Security, Audit, and Control
Publisher
ACM  New York, NY, USA
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ABSTRACT

Today, watermarking techniques have been extended from the multimedia context to relational databases so as to protect the ownership of data even after the data are published or distributed. However, all existing watermarking schemes for relational databases are secret key based, thus require a secret key to be presented in proof of ownership. This means that the ownership can only be proven once to the public (e.g., to the court). After that, the secret key is known to the public and the embedded watermark can be easily destroyed by malicious users. Moreover, most of the existing techniques introduce distortions to the underlying data in the watermarking process, either by modifying least significant bits or exchanging categorical values. The distortions inevitably reduce the value of the data. In this paper, we propose a watermarking scheme by which the ownership of data can be publicly proven by anyone, as many times as necessary. The proposed scheme is distortion-free, thus suitable for watermarking any type of data without fear of error constraints. The proposed scheme is robust against typical database attacks including tuple/attribute insertion/deletion, random/selective value modification, data frame-up, and additive attacks.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Yingjiu Li: colleagues
Robert Huijie Deng: colleagues