Watermark Detection In Compressive Sensing Domain To Preserve Privacy

Abstract

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.