An Enhanced Reversible Data Hiding Algorithm to Maintain Privacy of Multimedia in Cloud

This paper proposes high-capacity image-based reversible data-hiding techniques that may be tested in both plaintext and encrypted domains. We proposed methods for maintaining the authenticity and privacy of multimedia material without danger of intrusion. All of these techniques employ encrypted copies of natural photos as a host image on which extra data is encoded, and they all allow for complete reversibility in noise-free retrieval of these natural images. The content owner might use these methods to outsource an embedding algorithm to an untrusted third party in a cloud environment without providing the cover to the embedder since it includes very sensitive information. The owner encrypts the cover picture to keep the data private, and the embedder homomorphically embeds the secret data on the encrypted image coefficients without knowing the host image. The owner might enable anybody with a valid data hiding key to extract the encrypted domain's contained secret data, but only the intended single receiver with the associated decryption key could decode the marked data and disclose the cover. Algorithms are improved to accomplish data embedding in the encrypted transform domain to improve resilience against typical signal processing procedures. This is done using the integer discrete cosine transform in the encrypted domain (e-DCT). When compared to current state-of-the-art reversible data concealing methods, the suggested approaches provide improved embedding capacity and picture quality. In the encrypted domain, the methods perform well in the face of several common noise assaults.