Encryption serves as a critical mechanism for ensuring video security. This chapter proposes a multi-layered quantum video encryption algorithm that integrates the Quantum Video Novel Enhanced Quantum Representation (QVNEQR) and Quantum Video Novel Color Quantum Image (QVNCQI) frameworks with quantum-controlled exclusive OR (XOR) operations on qubit planes and an enhanced Logistic map. The encryption system comprises three principal algorithmic components.
Encryption serves as a critical mechanism for ensuring video security. This chapter proposes a multi-layered quantum video encryption algorithm that integrates the Quantum Video Novel Enhanced Quantum Representation (QVNEQR) and Quantum Video Novel Color Quantum Image (QVNCQI) frameworks with quantum-controlled exclusive OR (XOR) operations on qubit planes and an enhanced Logistic map. The encryption system comprises three principal algorithmic components.
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.
Quantum video information steganography holds significant research value in the era of quantum computing. Compared to image-based media, videos possess greater storage capacity and redundant information, making them more suitable as carriers for secret information. This chapter introduces a least significant qubit (LSQb) steganography algorithm for quantum videos in the Quantum Video based on Novel Enhanced Quantum Representation (QVNEQR) representation. Based on LSQb and the motion vectors of quantum videos, a quantum video motion vector steganography method is proposed. This algorithm embeds secret information into the motion vectors of quantum videos using the LSQb algorithm, encoding the secret information into the quantum bitstreams of the motion vectors. This approach enhances the security of quantum video steganography.
With the rapid growth of multimedia communication over the internet, ensuring the security and confidentiality of digital images and videos has become a critical challenge.Traditional encryption techniques such as AES, DES, and RSA are primarily designed for textual data and may not always be efficient for large multimedia files due to high computational complexity and data redundancy.To address this issue, this paper presents a quantum-inspired multimedia encryption system based on the Generalized Quantum Image Representation (GQIR) and Qiskit-based key generation.The proposed system converts digital images into quantum image representation using GQIR, where pixel positions and colour values are encoded using quantum bits.A quantum-inspired keystream is generated using Qiskit quantum circuits, which is then applied through an XOR-based encryption mechanism to secure images and video frames.Security evaluation is performed using Shannon entropy, histogram distribution, and pixel correlation coefficient analysis.The system is deployed as a Flask-based web application, enabling users to upload multimedia files, perform encryption and decryption, and visualize analytical results.The results demonstrate high entropy values (7.8-7.99),near-zero pixel correlation, and uniform histogram distribution in encrypted outputs, confirming strong randomness and resistance to statistical attacks.
The recent advances in digital services such as telehealth, video conferencing, military imaging, and video surveillance require highly reliable, secure storage and transmission of multimedia images and video. Specifically, video surveillance systems are commonly adopted for real-time event detection and video analytics. The video captured by video surveillance cameras often holds personal information, which requires privacy protection. Unlike text, digital images and video frames have many special properties, for instance, pixel correlations, textures, and huge size, which results in conventional cryptosystems like AES, data encryption standard (DES), etc., being appropriate for performing image encryption tasks as they possess very low efficiency when the data size is large. Chaotic cryptosystem has recommended a proficient approach for performing multimedia encryption with special characteristics like randomness and dynamic behavior. Though chaotic cryptosystem provides better security, these frameworks are vulnerable to cryptanalytic attacks with high computation machines. Thus, the recent advancement of quantum methodologies for quantum information processing has gained popularity in many fields such as information security, video processing, etc. 204 In this work, an attempt was made to investigate the proficiency of quantum cryptography in the field of secure video surveillance applications. To ensure the privacy of surveillance video, the proposed framework presented a novel Quantum based video cryptosystem for encrypting the digital video frames. Initially, the video frames are converted into quantum qubit frames by processing the pixel values. Next, to guarantee the secrecy of digital video information, the qubit planes are encrypted by utilizing series of quantum gates such as swap gate, controlled not gate, Toffoli gate and Hadamard gates under confusion and diffusion phases. The secrecy of digital video frames is reinforced by utilizing plain image-based quantum chaos for secret key generation. The traditional chaotic maps are quantized to obtain the quantumbased random sequences and these random sequences are further utilized to construct the secret keys for performing encryption and decryption operation. The numerical simulations and security analysis prove that the proposed system ensures secure video surveillance against cryptanalytic attacks. Also, the proposed quantum-based secure video surveillance system has ensured the effectiveness of quantum image processing in real-time video surveillance applications.
Abstract Data encryption is one of the main factors in their transmission. In this paper, we have described an algorithm for color image encryption, some quantum encryption and image scrambling operations will be performed based on bitplane representation of quantum images (BRQI). Next, the image created using the logistic map (key image) is blended with the output of the first step, which was possible with the help of a quantum comparator circuit. Finally we create a secure image as the output of the encryption algorithm. Experiments with simulation and analysis of parameters such as entropy and correlation coefficient of adjacent pixels in three main positions show that the proposed algorithm has been very efficient and effective in securing and encrypting color images.
The Quantum-Crypto Stream Framework (QCSF) is a comprehensive taxonomy that elucidates the multifaceted role of quantum cryptography in securing video streaming applications.By integrating the principles of quantum key distribution, encryption, and decryption, QCSF establishes a robust foundation for enhancing the security of video streams.It encompasses secure communication channels, authentication mechanisms, and protection against quantum threats, offering a holistic approach to safeguarding video content.QCSF also explores the potential of quantum technology in user authentication, secure multi-party computation, and regulatory compliance.This framework aims to foster a deeper understanding of how quantum cryptography can fortify the integrity and confidentiality of video streaming, paving the way for quantumsecured video experiences in the evolving digital landscape.