Abstract
In today’s era, the large amount of data’s are stored in cloud. But nowadays securely storing data to the cloud is an important task. But the unauthorized parties are tries to decrypt the data from the cloud. So, the data stored in cloud should be secure from any malicious activities. Based on these requests, we propose a framework named reversible data hiding (RDH). It mainly works on encrypted images based on reversible image transformation (RIT). The server insert data into the cloud. On that time, he will add some additional information for the protection of data. In the given framework, the original data can be embedded in another image named carrier image with equal size. So, the hacker tries to pullout the data, he will only get the carrier image. So we can accommodate more data’s into a single storage space. The method picks the data to be hide and a carrier image with equal size. The cover image is embedded into the original image based on the LSB insertion algorithm. i.e., the original data’s are dissolved into the carrier image using a secret hiding key. The cover image is encrypted using blow fish encryption algorithm. It includes normal RDH method and RDH with RIT. Using RIT, it gives high visual quality and security. The technique is mainly used in medical imagery, military imagery for reliable data storage.
Highlights
reversible data hiding (RDH) is required which allows the original image to be retrieved after the cover data has been extracted
The system is mainly used in medical imaging, military imagery and forensic control, where high security of original data is needed
The endeavor uses a novel structure for reversible data concealing in mixed picture (RDH-EI) in perspective on reversible picture change (RIT)
Summary
In today’s era, the large amount of data’s are stored in cloud. But nowadays securely storing data to the cloud is an important task. RDH is required which allows the original image to be retrieved after the cover data has been extracted. Techniques for RDH have been proposed on the images and text All of these techniques can be interpreted as a technique of semantic compression, where in additional statistics are reserved to be inserted with the aid of lossless compression of the original data. Inspired by the privacy needs, many methods for applying RDH techniques to the domain of encryption that have been suggested. In the VRAE system, the server insert some statistics through the use of the concept of compressing encrypted images by vacating room from the encrypted data. The method picks the data to be hide and a carrier image with equal size. Encrypt the cover image using blow fish encryption algorithm
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