A Novel Watermarking Scheme for Detecting and Recovering Distortions in Database Tables
Hamed khataeimaragheh, Hassan Rashidi

TL;DR
This paper introduces a new fragile watermarking scheme for relational databases that detects, localizes, and recovers from malicious modifications, ensuring data integrity and authenticity.
Contribution
The paper presents a novel group-based watermarking method that enables effective detection, localization, and recovery of malicious data modifications in relational databases.
Findings
Successful detection and localization of modifications
Effective recovery of original data
High accuracy demonstrated in experiments
Abstract
In this paper a novel fragile watermarking scheme is proposed to detect, localize and recover malicious modifications in relational databases. In the proposed scheme, all tuples in the database are first securely divided into groups. Then watermarks are embedded and verified group-by-group independently. By using the embedded watermark, we are able to detect and localize the modification made to the database and even we recover the true data from the database modified locations. Our experimental results show that this scheme is so qualified; i.e. distortion detection and true data recovery both are performed successfully.
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Taxonomy
TopicsAdvanced Steganography and Watermarking Techniques · Internet Traffic Analysis and Secure E-voting · Digital and Cyber Forensics
