Watermark Detection In Compressive Sensing Domain To Preserve Privacy

Authors(3) :-Saranya S, Sangeetha B, Gayathri M

We propose a compressive sensing based privacy preserving watermark detection framework that involves secure multiparty computation and the cloud. There are three parties in the proposed framework, the data holders (DH) of the potentially watermarked images, the watermark owners (WO) and the cloud (CLD). The framework also requires a certificate authority (CA) to issue a Paillier public key pair to the DH and the DH’s public key to the WO. For DH (e.g., media agencies), when it collects a large volume of multimedia data from the Internet and stores their encrypted versions in the CLD, it wants to make sure those multimedia can be edited and republished legally. Watermark owners (WOs) are also the content providers who distribute their watermarked content. In some scenarios, not only DH and WO care about the copyright of the multimedia data, certain CLD who offers storage services may also desire to initiate the watermark detection to check if the uploaded multimedia data is copyright protected. For example, a CLD may choose not to provide storage services to copyright protected data illegally owned. If DH would like to use a CLD for storage the encrypted multimedia data from another cloud to this CLD, it will require the CLD to perform watermark detection on the encrypted multimedia data before providing the storage services.

Authors and Affiliations

Saranya S
Computer Science and Engineering, Dhanalakshmi College of Engineering, Chennai, Tamilnadu, India
Sangeetha B
Computer Science and Engineering, Dhanalakshmi College of Engineering, Chennai, Tamilnadu, India
Gayathri M
Computer Science and Engineering, Dhanalakshmi College of Engineering, Chennai, Tamilnadu, India

Compressive sensing, watermark detection, secure signal processing, secure multiparty computation, privacy preserving.

[1] T. Bianchi and A. Piva, “Secure watermarking for multimedia content protection: A review of its benefits and open issues,” IEEE Signal Process. Mag., vol. 30, no. 2, pp. 87–96, Mar. 2013.
[2] Z. Erkin, A. Piva, S. Katzenbeisser, R. Lagendijk, J. Shokrollhi, G. Neven, et al., “Protection and retrieval of encrypted multimedia content: When cryptography meets signal processing,” EURASIP J. Inf. Security, vol. 7, no. 2, pp. 1–20, 2007.
[3] J. Eggers, J. Su, and B. Girod, “Public key watermarking by eigenvectors of linear transforms,” in Proc. Euro. Signal Process. Conf., 2000.
[4] S. Craver and S. Katzenbeisser, “Security analysis of public-key water-marking schemes,” in Proc. Math. Data/Image Coding, Compress., Encryption IV, Appl., vol. 4475. 2001, pp. 172–182.
[5] A. Adelsbach and A. Sadeghi, “Zero-knowledge watermark detection and proof of ownership,” in Proc. 4th Int. Workshop Inf. Hiding, vol. 2137. 2001, pp. 273–288.

Publication Details

Published in : Volume 1 | Issue 2 | March-April 2015
Date of Publication : 2015-04-25
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 172-177
Manuscript Number : IJSRSET152265
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Saranya S, Sangeetha B, Gayathri M, " Watermark Detection In Compressive Sensing Domain To Preserve Privacy, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 2, pp.172-177, March-April.2015
URL : http://ijsrset.com/IJSRSET152265

Follow Us

Contact Us