The rapid growth of digital communication and video transmission has brought about an urgent need for robust encryption methods to ensure the security and integrity of video data. Traditional encryption techniques, while effective, face increasing challenges from advancing computing capabilities. Quantum cryptography has emerged as a promising solution to secure video transmission. In this article, we propose a novel cutting-edge Hybrid Quantum Video Encryption Framework. Our key idea is to integrate the strengths of quantum encryption and the classical video transmission paradigm to enhance the security of video transmission. By combining the proposed quantum encryption framework which uses a pseudorandom number generated key to perform a row-wise XOR operation along with the secure SSL-encrypted HTTP transmission over the internet, this framework provides a robust defense against threats. The experimental simulation conducted under the new computational integrated paradigm shows the strong encryption capability of the proposed method. The superior performance of the proposed method as validated through statistical analysis, outperforms the state-of-the-art video encryption frameworks in terms of Information Entropy and Correlation Coefficient for encrypted plain images offering a significant advancement in the field of secure video transmission.

The proliferation of internet usage has led to an increase in deepfake attacks, posing significant threats to privacy and data security. Existing detection systems are continually challenged by increasingly sophisticated deepfake techniques. In this paper, we propose a novel method for detecting deepfake anomalies by focusing on the lip region of human faces in videos. This area is often subtle and difficult for humans to scrutinize. Our approach integrates the Minimum Covariance Determinant (MCD) Estimator with the SHA-256 hashing algorithm and RAID technology to identify even the slightest deepfake activities. By employing the Lip Shaping Technique, we evaluate the effectiveness of our method. Experimental results demonstrate the proposed method's promising performance and its significant impact on frame processing speed due to the incorporation of optimized storage techniques.