Journal ArticleDOI
Comparative Analysis of Relational Database Watermarking Techniques: An Empirical Study
Sapana Rani,Raju Halder +1 more
- Vol. PP, pp 1-1
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TLDR
An exhaustive empirical study and thorough comparative analysis of various relational database watermarking techniques in the literature along with a rigorous experimental analysis demonstrating a detailed comparison on robustness, data usability, and computational cost with considerable empirical evidence is provided.Abstract:
Digital watermarking is considered one of the most promising techniques to verify the authenticity and integrity of digital data. It is used for a wide range of applications, e.g., copyright protection, tamper detection, traitor tracing, maintaining the integrity of data, etc. In the past two decades, a wide range of algorithms for relational database watermarking has been proposed. Even though a number of surveys exist in the literature, they are unable to provide insightful guidance to choose the right watermarking technique for a given application. In this paper, we provide an exhaustive empirical study and thorough comparative analysis of various relational database watermarking techniques in the literature. Our work is different from the existing survey papers as we consider both distortion-based and distortion-free techniques along with a rigorous experimental analysis demonstrating a detailed comparison on robustness, data usability, and computational cost with considerable empirical evidence.read more
Citations
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Journal ArticleDOI
An efficient format-independent watermarking framework for large-scale data sets
Sapana Rani,Raju Halder +1 more
TL;DR: In this paper , the authors proposed an efficient distortion-free watermarking of large-scale data sets in various formats by exploiting the power of parallel and distributed computing environment, in particular, MapReduce, Pig and Hive paradigms for the data in CSV, XML and JSON formats.
Journal ArticleDOI
Empirical analysis of the impact of queries on watermarked relational databases
TL;DR: In this article , an empirical analysis of the role played by different types of SQL queries in the persistence and degradation of a watermark signal in a relational data set is presented, contributing to the extraction of an ownership copyright signals threshold.
Journal ArticleDOI
Reducing Multiple Occurrences of Meta-Mark Selection in Relational Data Watermarking
TL;DR: This work proposes an engine that contributes to controlling marks’ recurrent selection, allowing marks excluded by previous approaches to be considered and detected with 100% accuracy and leading to higher resilience against common malicious operations such as subset and superset attacks.
Journal ArticleDOI
DICTION: DynamIC robusT whIte bOx watermarkiNg scheme
TL;DR: In this article , the authors proposed a new white-box Dynamic Robust watermarking scheme based on a generative adversarial network (GAN) strategy where the watermark extraction function is a DNN trained as a GAN discriminator, and the target model to watermark as GAN generator taking the GAN latent space as trigger set input.
Proceedings ArticleDOI
A Secured Communication in Watermarking using Fast Walsh Hadamard Transformation in Image Processing
TL;DR: In this paper , the authors proposed a method for implementing Fast Walsh Hadamard Transformation (FWHT) in digital image watermarking, where the edge components are described in the high frequency portion, while the low frequency portion is further divided into high and low frequency segments.
References
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Journal ArticleDOI
Watermarking relational data: framework, algorithms and analysis
TL;DR: This paper presents an effective watermarking technique geared for relational data that is robust against various forms of malicious attacks as well as benign updates to the data and performs well enough to be used in real-world applications.
Journal ArticleDOI
A recent survey of reversible watermarking techniques
TL;DR: A major focus of this survey is on prediction-error expansion based reversible watermarking techniques, whereby the secret information is hidden in the prediction domain through error expansion.
Proceedings ArticleDOI
Rights protection for relational data
TL;DR: In this paper, a solution for relational database content rights protection through watermarking is proposed, which addresses important attacks, such as data re-sorting, subset selection, linear data changes (applying a linear transformation on arbitrary subsets of the data).
Journal ArticleDOI
Fingerprinting relational databases: schemes and specialties
TL;DR: These models demonstrate that fingerprints embedded by the watermarking scheme are detectable and robust against a wide variety of attacks including collusion attacks.
Journal ArticleDOI
Watermarking Relational Databases Using Optimization-Based Techniques
TL;DR: This paper presents a mechanism for proof of ownership based on the secure embedding of a robust imperceptible watermark in relational data and formulate the watermarking of relational databases as a constrained optimization problem and discusses efficient techniques to solve the optimizationproblem and to handle the constraints.