The effectiveness and robustness of this scheme is verified by measuring its security strength and comparing its computational cost against other techniques. The resulting system can provide superior performance over other techniques by both its generic encryption and its simple adaptation to multimedia in terms of a joint consideration of security, and bitrate overhead. A systematic study on how to strategically integrate different atomic operations to build a multimedia encryption system is presented. OMHT depends on using statistical-model-based compression method to generate different tables from the same data type of images or videos to be encrypted leading to increase compression efficiency and security of the used tables. In this paper, a secure and computationally feasible Algorithm called Optimized Multiple Huffman Tables (OMHT) technique is proposed. Multimedia is one of the most popular data shared in the Web, and the protection of it via encryption techniques is of vast interest. We present experimental results which show that OMHT outperforms many traditional and selective techniques for video over wireless applications. The performance of the proposed technique is compared with that of the standard encryptions and it gives a very good perceptual quality especially at lower bit rates. OMHT produces an encrypted coded sequence with an improved quality for the high compression ratios when compared to the existing standards in addition to the ability of encryption. Only visual processing will be discussed (no audio processing). This paper deals with the issues of color videos in-compression encryption, this done by using the optimized multiple Huffman table (OMHT) technique, will be elucidated upon in order to compress and encrypt both color images and videos. On an average, our algorithm takes only 2 ms of encryption time per frame. Computational complexity of the encryption is made proportional to the influence of the DCT coefficients on the visual content. We achieve computational efficiency by exploiting the frequently occurring patterns in the DCT coefficients of the video data. This makes secure video encryption feasible for real-time applications without any extra dedicated hardware. In this paper, we propose a computationally efficient and secure video encryption algorithm. Security and privacy issues of the transmitted data have become an important concern in multimedia technology.
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