Advancements in networking technologies like cloud computing have popularized applications like, Video-On Demand (VOD), video conferencing, pay-per-view, video broadcast, etc, in all such applications, confidentiality of the video data during transmission in network and during storage is extremely important. This necessitates secure video encryption algorithms suitable for multimedia application because of the large data size and real time constraint. Conventional encryption algorithms are designed for generic data, and as such, it does not support many specific video application requirements. In the paper we propose a computationally efficient and secure video encryption algorithm that makes encryption feasible for real-time applications without heavy computational overhead and reduces key management by utilizing block shuffling technique. Block Shuffling based video encryption with Faro IN OUT Shuffle and rotation, i.e., first image is rotated by an angle then key is generated based Block size using Faro IN OUT perfect shuffle which is a perfect shuffling algorithm which is isomorphic to random permutation. we will show that our proposed method provide more scrambling of image then random permutation and no need to maintain long key file.

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Having great photos and video phone, but what happens when you decide to buy a new phone or your storage becomes too full to take any more, back it all on the cloud. It's no secret that videos are a valuable way of communicating information. With attention spans dropping and the need to get larger amounts of information across in a shorter period of time, a well-placed video can take your presentation to the next level these presentations need to be up to date and available wherever you are, back it all on the cloud. Better collaboration and communication through the use of cloud as cloud allows users to access the latest versions of any multimedia data (text, video, images, audio, etc), so they can stay on top changes, which can help businesses to better manage their work flow, regardless of geographical location or spread. Multimedia data like videos stored on cloud are vulnerable to various types of threats like known plain text attach, threat to data, denial of service, etc. To overcome these problems videos need to be encrypted before it gets stored on cloud. Encrypting whole video is a time consuming task, to get rid of time complexity videos can be encrypted using selective encryption many researchers in the state of art have proposed techniques for selective image encryption. In this paper, a frame work is proposed for selective encryption of videos in two stages. The first stage is, Region of interest (ROI) identification performed based on Neutrosophic Logic, watershed image segmentation method. Second Stage is ROI encryption which is performed using the proposed Decision Based Encryption (DBE) Algorithm. The proposed frame work is fast, robust, highly scalable and accurate to meet the need of current internet bandwidth and speed.

Digital images like military, medical and quality control images are increasingly stored over cloud server. These images need protection against attempts to manipulate them since manipulations could tamper the decisions based on these images, many approaches have been proposed to protect the privacy of multimedia images over cloud through cryptography, these cryptographic approaches prevent the visibility of image contents but it does not identify if any changes are made on encrypted data by insider attack and cipher-text only attack. In this paper, we proposed to provide authentication, tamper localization, rectification along with privacy preservation of the image using padding extra bit plane for tamper localization, Hash message authentication code (HMAC) algorithm to authentication image, tamper rectification. The proposed algorithm will provide privacy to the image through hiding bit planes.