A secure image sharing scheme based on SVD and Fractional Fourier Transform

Outsourcing multimedia contents to cloud servers without obscuring may lead to an increase in security breaches that might discourage the end users from exploiting the multiple facilities provided by the cloud-based architecture. To secure the content and still be capable enough to provide the cloud services, many homomorphic encryption based schemes are being proposed in the literature. In this article, secured image outsourcing and ownership verification service in a cloud environment on the basis of singular value decomposition (SVD) and Fractional Fourier Transform (FrFT) has been proposed. It disseminates the image information via Shamir secret sharing scheme to create multiple obfuscated shares that reveal no information about the image. To assert the ownership in the encrypted domain at the receiver end, an owner specific information is embedded into some of the shares based on the secret keys. The secret information can be extracted either directly from the cloud servers or obtained after recovery of the cover media. Different attack scenarios have been analyzed considering the possibilities of the attacks that may be attempted by intruders once the information is outsourced to the cloud servers. The proposed scheme was found to be robust against various attacks, hence proving its efficacy. (C) 2017 Elsevier B.V. All rights reserved.