基于视频内容关联密钥加密算法

Video encryption algorithm of content associated key

随着计算技术以及视频、显示技术的不断发展,学术以及产业界对新的视频加密算法不断有着更高的要求.通过对现有视频版权保护技术中加密算法不足之处的分析,提出内容关联密钥的概念,并将其运用于视频加密.基于宏块运动矢量预测残差的抽取算法,将视频中敏感数据抽取为密钥,可在10%以内抽取比例下,有效对视频质量进行破坏.为了有效验证该加密算法效果,通过视频质量评估方法峰值信噪比(PSNR)与结构相似度(SSIM)对内容关联密钥算法加密后不同视频内容、不同参数视频进行视频质量评估,证明算法的有效性与一致性,并通过性能分析以及效果对比说明了抽取算法的效果.

With the development of computer technology and video,display technology,there are new requirements of video encryption algorithm. A video content associated key concept was proposed and used in the encryption of video after the research of current video encryption algorithm ＇s defects in video copyright protection technologies. The extraction algorithm which used the motion vector prediction residual as sensitive data extracted the sensitive data from the plaintext video. The extraction algorithm effectively destroyed the video quality within 10% sensitive data extraction ratio. In order to prove the effect of extraction algorithm,the video quality measurement algorithm of peak signal to noise ratio（ PSNR） and structural similarity index measurement（ SSIM） was used to assess encrypted videos with different video contents and parameters,and proved the performance by performance analysis and comparison with other algorithm. The experiment results show the validity and consistency of video encryption algorithm based on the content associated key.