A robust, distortion minimizing technique for watermarking relational databases using once-for-all usability constraints

Kamran, Muhammad; Suhail, Sabah; Farooq, Muddassar

doi:10.1109/tkde.2012.226

Cited by 13 publications

(23 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Here [12] author claims that its decoding accuracy is independent of the usability constraints. A technique having features like robustness, minimum distortion for watermarking relational databases is thus proposed.…”

Section: Related Workmentioning

confidence: 99%

“…In literature several such watermarking algorithms are available [1,2,5,6,8,9,10,11,12]. Culprits are the buyers who tamper their copy of data and resale the same for their personal benefit.…”

Section: Introductionmentioning

confidence: 99%

“…An important point to be focused is the minimum distortion [12,15] or prevention of violation of usability constraints after fingerprinting. The amount of error to be inserted is required to be minimal so that it satisfies the usability constraints expressed in terms of mean and variance and/or preservation of values of classification potential [1,2,14], so that the classification statistics is not found to be affected.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Fingerprinting Numeric Databases with Information Preservation and Collusion Avoidance

Mohanpurkar¹,

Joshi²

2015

IJCA

View full text Add to dashboard Cite

Information age demands omnipresence of data. Large data sets are created, maintained and outsourced to the third party experts for data mining. Knowledge and patterns are extracted by using advanced data mining algorithms that assist the decision makers to ensure quick, correct and effective decisions to be made in this world of competition. The outsourcing of these large data sets faces the problem of theft and loss of ownership. The problem of data theft can be handled by fingerprinting i.e. embedding buyer specific marks along with ownership identification marks which further leads to the challenge of knowledge preservation. Thus, a technique which performs fingerprinting with knowledge preservation on numeric relational data to be outsourced is proposed here. It is ensured that the usability constraints are not violated. Knowledge preservation is achieved by optimizing the error to be inserted using Particle Swarm Optimization (PSO), a natureinspired optimization algorithm. Collusion attack is very well-known in the context of fingerprinting techniques. Here, the proposed system provides a mechanism for avoiding collusion. The proposed system is independent of the primary key.

show abstract

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Fingerprinting Numeric Databases with Information Preservation and Collusion Avoidance

Mohanpurkar¹,

Joshi²

2015

IJCA

View full text Add to dashboard Cite

show abstract

“…Based on that assumption, the majority of watermarking techniques proposed to protect relational data are PK-dependent (e.g. Franco-Contreras et al, 2014;İmamoglu et al, 2015;Kamran et al, 2013;Melkundi and Chandankhede, 2015;Pérez Gort et al, 2017b).…”

Section: Introductionmentioning

confidence: 99%

HQR-Scheme: A High Quality and resilient virtual primary key generation approach for watermarking relational data

Gort

Feregrino-Uribe

Cortesi

et al. 2019

Expert Systems with Applications

View full text Add to dashboard Cite

This work propose metrics to allow a precise measuring of the quality of the Virtual Primary Keys (VPK) generated by any VPK scheme proposed so far, without requiring to perform the watermark embedding, so wasting time can be avoided in case of low-quality detection. We also analyze the main aspects to design the ideal VPK scheme, seeking the generation of high-quality VPK sets adding robustness to the process. Finally, a new scheme is presented along with the experiments carried out to validate and compare the results with the rest of the schemes proposed in the literature. We believe that these findings will be of interest to the readers of Elsevier Expert Systems with Applications Journal. This manuscript is original, has not been published before and is not currently being considered for publication elsewhere.

show abstract

“…Thus, fragile techniques are not suitable for ownership or copyright protection. In such conditions, robust watermarking is required which should be resilient against benign updates as well as malicious attacks .…”

Section: Introductionmentioning

confidence: 99%

A survey on reversible watermarking techniques for relational databases

Iftikhar

Kamran

Anwar

2015

Security Comm Networks

View full text Add to dashboard Cite

Over the past few years, reversible watermarking techniques for relational databases have been proposed to provide protection of ownership rights, data tempering, and data integrity. Mainly, these techniques ensure original data recovery from watermarked data, whereas irreversible watermarking schemes only protect ownership rights. This characteristic of reversible watermarking has emerged as a candidate solution for the protection of ownership rights of data, intolerable to modifications such as medical data, genetic data, credit card, and bank account data. The main objective of this paper is to make an extensive survey of the state-of-the-art in reversible watermarking techniques for relational databases to reflect recent research progress and to point out the key issues for future research. In order to analyze these techniques, a classification has been performed on the basis of (i) the extent of modifications introduced by the watermarking scheme in the underlying data and (ii) the robustness of the embedded watermark against malicious attacks.Reversible watermarking techniques [10,11,26] provide security for trial versions of database applications. The original full version of the database application can be recovered from the decoded database subsequently, dependent on whether the user purchases the license of the database application. For example, database applications providing this facility are IBM DB2 [27] and Oracle [28]. High-capacity watermarkingReversible watermarking techniques provide a mechanism to utilize the available bandwidth for maximum water-Security Comm. Networks (2015) A survey on reversible watermarking techniques for RDB mark robustness by minimizing distortions in the data and increasing watermark capacity [29,30]. With high watermark capacity, less distortion is introduced in the underlying data. High-capacity watermarking is required in critical databases such as those pertaining to military and health care domains. Original data recoveryReversible watermarking techniques provide high-quality datasets (without any alterations) for data mining and other information extraction processes [10,11,30,31]. In some relational database applications such as electronic medical records systems, data mining is used to extract patient data for decision making. As increasing amount of medical data is made available by practitioners and health care providers for conversion into digital format, cases of fraud [32] and data privacy breach crop up at an alarming rate [33]. Thus, in such shared environments, ownership and digital rights are required to be protected from illegal use by malicious users.Security Comm. Networks (2015) Ã 1 - ( 13) where (b(i; n, p) = nkp i (1p) n-i ).Security Comm. Networks (2015) Distortion-based reversible watermarking techniques introduce less distortion in the underlying data and are highly robust against malicious attacks. Distortion-free fragile watermarking techniques introduce zero distortion in the underlying data and are not robust against malicious attacks. ...

show abstract

A robust, distortion minimizing technique for watermarking relational databases using once-for-all usability constraints

Cited by 13 publications

References 0 publications

Fingerprinting Numeric Databases with Information Preservation and Collusion Avoidance

Fingerprinting Numeric Databases with Information Preservation and Collusion Avoidance

HQR-Scheme: A High Quality and resilient virtual primary key generation approach for watermarking relational data

A survey on reversible watermarking techniques for relational databases

Contact Info

Product

Resources

About