Megha K. Patel

Bio: Megha K. Patel is an academic researcher. The author has contributed to research in topics: Steganography & Secrecy. The author has an hindex of 1, co-authored 1 publications receiving 2 citations.

A survey on a an advanced approach for motion video Steganography using LSB technique

Abstract: Need of hiding information from intruders has been around since ancient times. Nowadays digital media is getting advanced like text, image, audio, video etc. To maintain the secrecy of information different methods of hiding have been evolved. One of them is Steganography which means hiding information under some other information without noticeable change in cover information. Video Steganography is the technique of hiding some covert message inside a video. In these paper work on improve data hiding capacity using video Steganography and use motion vector here for hiding data using LSB approach for hide text data. Using proposed system to improve images accuracy, embedding capacity. To enhance more security each bit of secret frames will be stored in covered frames. That are achieves good images quality when compared with existing method.

Optimized and hybrid based watermarking system for digital video security

Abstract: Now a day's large amount of digital information such as video, audio or image is spread over the internet. So it should be a great challenge for all researchers to provide security to such a type of digital data. Also the piracy and copyright is emerging issue when digital information in the form of video, audio & image is transmitted over the transmission media. So to prevent the problem of piracy and security of digital data such as video, video watermarking techniques has been introduced. There are various watermarking schemes to give the security to videos but they were unable to provide the quality in terms of robustness and security. In this paper optimized and hybrid based robust digital video watermarking scheme has been proposed. The optimization is performed in the proposed system with the help of genetic algorithm. The quality of the proposed watermarking scheme is measured in terms of PSNR and NC values. The PSNR calculated using our approach is off 50.48 db which is far better than existing approaches.

An efficient security for privacy information through hiding data in encrypted compressed videobit streams

Abstract: The aim is to propose a system based on encryption of compressed video bit streams and hiding privacy information to protect videos during transmission using H.264/AVC. To maintain security and privacy video needs to be stored and processed in an encrypted format. Here, data hiding is done directly in the encrypted version of H.264/AVC which includes the following three parts i.e, H.264/AVC video encryption, data embedding and data extraction. choas encryption is used to encrypt/decrypt the secret data before/after data embedding/extraction. The simulated results shows that the methods used provide better performance interms of computation efficiency, high data security and video quality after decryption. The parameters such as mean square error, peak signal to noise ratio, correlation and structure similarity index are evaluated to measure its efficiency.