基于离散余弦变压器的混沌视觉密码共享

I. E. Dayanand, R. K. S. Kumar
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引用次数: 0

摘要

随着多媒体信息共享面临的威胁日益增加,安全性的降低成为人们关注的焦点之一。视觉密码学是一门利用加密方案对秘密视频进行编码并进行免计算解码以提高安全水平的新兴领域。在视频共享领域,通过可视化加密技术实现多堆栈用户的秘密共享不足以提供高百分比的结果。视频共享没有开发单个帧的源密钥属性,因此无法实现视频帧的质量估计策略。在加解密的情况下,没有达到视频质量的目标速率约束。在安排来自多个堆栈用户的多个帧序列时,这种加密-解密目标密钥速率下降。为了提高视觉秘密视频共享方案的质量,提出了一种离散余弦变换混沌密码(DCTCC)机制。DCTCC的主要目的是利用加密密钥的属性来提高不同级别视频帧的安全级别。最初,发送方获取不同帧长的视频,并使用离散余弦变压器将视频压缩到图像上。基于离散余弦变换的视频图像视觉秘密共享,利用图像中的亮度值实现高无损压缩。其次,使用混沌方法对嵌入视频帧进行加密以实现秘密共享(即视觉加密)。混沌方法使用增强的RSA密钥属性来改进视频质量估计策略。DCTCC中的混沌方法可以有效地处理用户的非线性动态视频帧集,也可以有效地处理离散时间动态视频密码系统。在解密端,将混沌方法按反序应用,从原始图像中提取视频帧的视频质量。对均方错误率、秘密视频共享功效等级、加密时间等因素进行实验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Discrete Cosine Transformer Based Visual Secret Sharing With Chaos Visual Cryptography
With the increasing threats on multimedia information sharing, degradation of security is one of the most important concerns. Visual Cryptography is an emerging field for improving the security level by encoding the secret video using encryption scheme and performs computational free decoding process. The secret sharing through visual cryptographic techniques for multiple stack users is not sufficient in providing high percentage result on video sharing domain. Video sharing did not develop source key properties for individual frames and as a result the quality estimation strategy on video frame was not achieved. Moreover, the target rate constraint for video quality under the encryption-decryption was not achieved. This encryption-decryption target key rate declines on arranging multiple sequences of frames from multiple stack users. To improve the quality of visual secret video sharing scheme, a Discrete Cosine Transform Chaos Cryptographic (DCTCC) mechanism is proposed in this paper. The main objective of DCTCC is to enhance the security level of different level video frame using the encryption key properties. Initially, sender takes the video of differing frame length and compresses the video on image using the Discrete Cosine Transformer. The Discrete Cosine Transformer based visual secret sharing of video in the image takes the luminance values and provides high lossless compression. Second, the embedded video frame is encrypted to perform the secret sharing (i.e., visual cryptographic) using the chaos method. The Chaos method uses the enhanced RSA key properties to improve the video quality estimation strategy. Chaos method in DCTCC works effectively with non-linear dynamic set of video frames from users and also with the discrete time dynamical video cryptographic system. On the decryption side, the chaos method is applied in the reverse procedural order to fetch the video quality of video frames from original image. Experiment is conducted on factors such as mean square error rate, and secret video sharing efficacy level and encryption time.
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