ATBaM: An Arnold Transform Based Method on Watermarking Relational Data

Chaokun Wang, Jianmin Wang, Ming Zhou, Guisheng Chen, Deyi Li

Abstract: ATBaM, A novel numeric relational data watermarking method, is presented in this paper. ATBaM substantially improves watermark security by using image scrambling technology which could confuse the well-regulated watermarking information and diffuse errors. Theoretical analysis proves the correctness and security of ATBaM. Also, experimental results show the strong robustness of ATBaM.