Secure video watermarking technique using cohen-daubechies-feauveau wavelet and gollman cascade filtered feedback carry shift register (F-FCSR)

Abstract

The enormous growth of digital data in the form of digital videos has brought many issues for the copyright holders. Due to advanced technologies available, the legal data can be distributed illegally and modified easily, which creates a problem for the owners of the content and may lead to financial degradation of that organization. These problems arise as unauthorized users can also exchange the copyrighted content illegally over peer-to-peer networks without any legal issues. Hence, authentication of digital data and identifying authorized user is very essential. So, in this paper a secure watermarking technique for video has been presented for user identification and data authentication. In this paper Cohen- Daubechies-Feauveau (CDF) 9/7 lifting wavelet has been used and it is observed that the results are promising. The watermarking has been performed on LH5 and HL5 sweatbands that consists of the most significant features of the video. In order to authenticate the video, watermarking the most significant information is important. The reason is that, any modification done to the watermarked video will modify the significant information. Gollman cascade filtered-feedback carry shift register (F-FCSR) is used for generating secure random numbers that will be used for watermarking.