Overview

The fatal attraction to the internet due to its flexibility for transferring digital content has paved the way for certain copyright infringement issues. Any copyrighted material can be easily exchanged over the internet without the consent of its rightful owner. Digital watermarking, which is an application of data hiding technique, has been evolved as a feasible solution to protect Digital Management Rights and content authentication and is still a hot topic for researchers. In classic watermarking techniques, the quality of the cover medium was given the least importance in comparison with the secret data endorsed during the retrieval process. But there are certain scenarios such as medical imagery where every bit of information of cover medium is equally important as the secret code during the retrieval. Reversible data hiding (RDH) addresses this problem and gives equal importance to the cover as well as secret data. Without mentioning the current status of Cloud Computing, the story of atrocities in the digital communication field would be incomplete. As a resource of abundant storage space and limitless software applications, Cloud computing is spreading its wings over the world, day by day. Any entrepreneur can hire the above-mentioned services offered by cloud storage providers by paying nominal charges and thereby able to reduce their investment in hardware and software procurement required for computational jobs. Apart from the initial investment in the infrastructure, the maintenance cost is also saved since the entire machinery for computation and storage is maintained by the service providers. The objective of this book is to develop privacy preserving secure reversible data hiding algorithms on grey images that can be either used for covert communication or authentication. The algorithms should preserve not only the secrecy of the extra bits added but also the secrecy of the host signal. They should be suitable to be adapted in the cloud environment so that third party outsourcing is possible without leaking privacy. Usually, in a cloud scenario, the client will be outsourcing storage and services from the cloud and authentication of electronic data and its secrecy becomes a big issue. This book presents high capacity image based reversible data hiding schemes which can be evaluated both in the plaintext domain and encrypted domain. We put forth four algorithms to preserve the authenticity as well as the privacy of the multimedia data without fear of an intrusion. All these algorithms use encrypted versions of natural images as a host image on which additional data will be embedded, and allow perfect reversibility on retrieval of these natural images in noise-free conditions. Using these algorithms the content owner could outsource an embedding algorithm from an untrusted third party in a cloud environment without disclosing the cover to the embedder as it contains very sensitive data. The owner encrypts the cover image to maintain the secrecy of the data and embedder embeds the secret data on the encrypted image coefficients homomorphically without knowing the host image. The owner could permit the authorized people with a valid data hiding key for extracting the embedded secret data in the encrypted domain but allow only the intended single recipient with the corresponding decryption key to decode the marked data and reveal the cover.

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