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Li, D., Ma, C., Gao, H. and Jin, X. (2023) LBP Feature and Hash Function Based Dual Watermarking Algorithm for Database. Data & Knowledge Engineering, 148, Article 102228.
https://doi.org/10.1016/j.datak.2023.102228

has been cited by the following article:

• TITLE: Reversible Semi-Fragile Watermarking Technique for Integrity Control of Relational Database

  AUTHORS: Ali Hamadou, Abdoul Aziz Issaka Hassane, Lanciné Camara, Harouna Naroua

  KEYWORDS: Semi-Fragile Watermarking, Integrity Control, Reversibility, Prediction-Error Expansion

  JOURNAL NAME: Engineering, Vol.16 No.9, September 29, 2024

  ABSTRACT: Reversible watermarking schemes for relational database are usually classified into two groups: robust schemes and fragile schemes. The main limitation of existing reversible fragile methods is that they cannot differentiate between legal and malicious modifications. In this paper, we introduce a novel lossless semi-fragile scheme based on prediction-error expansion for content protection of relational database. In the proposed method, all attributes in a database relation are first classified according to their sensitivity to legitimate updates. Then, the watermark is embedded by expanding the prediction error of the two least significant digits of securely selected attributes. At watermark extraction, the proposed method has the ability to fully restore the original data while detecting and localizing tampering. The applicability of our method is demonstrated theoretically and experimentally.