Owner–customer right protection mechanism using a watermarking scheme and a watermarking protocol

2006 ◽  
Vol 39 (8) ◽  
pp. 1530-1541 ◽  
Author(s):  
Tzung-Her Chen ◽  
Du-Shiau Tsai
Author(s):  
Bin Zhao ◽  
Lanjun Dang ◽  
Weidong Kou ◽  
Jun Zhang ◽  
Zan Li ◽  
...  

Author(s):  
Trung Duy Pham ◽  
Dat Tran ◽  
Wanli Ma

In the biomedical and healthcare fields, the ownership protection of the outsourced data is becoming a challenging issue in sharing the data between data owners and data mining experts to extract hidden knowledge and patterns. Watermarking has been proved as a right-protection mechanism that provides detectable evidence for the legal ownership of a shared dataset, without compromising its usability under a wide range of data mining for digital data in different formats such as audio, video, image, relational database, text and software. Time series biomedical data such as Electroencephalography (EEG) or Electrocardiography (ECG) is valuable and costly in healthcare, which need to have owner protection when sharing or transmission in data mining application. However, this issue related to kind of data has only been investigated in little previous research as its characteristics and requirements. This paper proposes an optimized watermarking scheme to protect ownership for biomedical and healthcare systems in data mining. To achieve the highest possible robustness without losing watermark transparency, Particle Swarm Optimization (PSO) technique is used to optimize quantization steps to find a suitable one. Experimental results on EEG data show that the proposed scheme provides good imperceptibility and more robust against various signal processing techniques and common attacks such as noise addition, low-pass filtering, and re-sampling.


2014 ◽  
Vol 17 (12) ◽  
pp. 1402-1411 ◽  
Author(s):  
Teak-Young Seong ◽  
Ki-Chang Kwon ◽  
Suk-Hwan Lee ◽  
Kwang-Seok Moon ◽  
Ki-Ryong Kwon

Author(s):  
DER-CHYUAN LOU ◽  
JIEH-MING SHIEH ◽  
HAO-KUAN TSO

In a buyer–seller watermarking protocol, a seller should embed a buyer's fingerprinting and seller's watermark into the work before the sale of a work to a buyer. If the work is violated, the fingerprinting and watermark can be extracted to correctly identify who holds the legal copyright of the work and trace the illegal reseller. In this paper, we propose a robust buyer–seller watermarking scheme based on discrete wavelet transformation (DWT) which embeds the buyer's fingerprinting and seller's watermark into an image. Besides, during the extraction phase, the extraction of the fingerprinting and watermark does not require the original image for more feasibility in real application. The proposed scheme has the following advantages. Firstly, the extraction of the fingerprinting and watermark does not require the original image. Secondly, the watermarked image maintains a good visual quality after the fingerprinting and watermark embedding. Thirdly, the proposed scheme is robust against several image processing attacks.


2010 ◽  
Vol 180 (23) ◽  
pp. 4672-4684 ◽  
Author(s):  
Bin Zhao ◽  
Weidong Kou ◽  
Hui Li ◽  
Lanjun Dang ◽  
Jun Zhang

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