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 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 image encryption (QIE) has emerged as a promising solution for securing digital data in an era dominated by rapid advancements in quantum computing and increasing cyber threats. Traditional cryptographic techniques, which rely on classical encryption methods, are vulnerable to the computational power of quantum algorithms, posing significant challenges for maintaining data privacy and integrity. This survey presents a thorough review of quantum encryption techniques, highlighting both their limitations and advantages, with a particular emphasis on their ability to ensure secure visual data transmission in the post-quantum era. Additionally, it provides a comparative analysis of classical and quantum cryptographic techniques, with a primary focus on quantum encryption methods. The survey also explores potential solutions to address the challenges inherent in classical encryption schemes, highlighting how these challenges can be mitigated through quantum encryption approaches. As quantum computing continues to evolve, the need for quantum-secure encryption methods becomes more critical. This survey not only highlights the innovative techniques that show promise for future secure visual data transmission but also identifies key areas for future research and development, paving the way for robust and scalable solutions in the quantum computing era.
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-Surveillance systems have become indispensable across homes, institutions, industries, and public spaces, providing continuous monitoring and ensuring safety. However, as digital threats advance, conventional encryption techniques used in video surveillance are increasingly vulnerable to interception, tampering, and future quantum-based attacks. This paper presents a Smart and Secure Video Surveillance System that integrates deep-learning-based face detection with quantum cryptographic key distribution to safeguard sensitive video data. A YOLOv3-based DCNN model is utilized to detect human faces in each frame. Detected facial regions are then scrambled using a block-based transformation technique to prevent unauthorized recognition. To ensure uncompromised security, encryption keys are generated using a simulated BB84 Quantum Key Distribution (QKD) protocol, offering resistance against eavesdropping and guaranteeing key integrity. The encrypted video is transmitted securely to the monitoring unit, where decryption occurs only with quantum-authenticated keys. Experimental results demonstrate strong privacy protection, robust resistance to key interception, and reliable face detection performance, highlighting the system’s effectiveness in building next-generation, quantum-secure surveillance frameworks. Key Words: Video Surveillance, Quantum Cryptography, QKD, YOLOv3, Face Detection, Secure Transmission, Block Scrambling.
Data, especially image data, is transmitted at an incredible rate due to the exponential growth in the number of connected devices brought about by the fast development of consumer electronics. Data transmission security remains fundamental in effective communication systems, especially with the emergence of the quantum era. Quantum advancements challenge traditional asymmetric cryptography, necessitating the requirement for new encryption schemes. The multimedia encryption schemes pose further challenges due to its large size, structural complexity, real-time requirements, and unique attack vectors specific to multimedia data. The current classical image encryption algorithms do not fully address the challenges posed by Quantum technology for securing the multimedia transmission. This paper proposes a hybrid framework combining Quantum Key Distribution (QKD), chaos-based encryption, and Post-Quantum Cryptography (PQC) to secure multimedia data, particularly images, in IoT consumer electronic networks. Integrating 2D-Logistic Sine Coupling Map (2D-LSCM), initialized with the Keys generated from QKD, and NTRU algorithm, this scheme achieves robust security and efficient performance. This new architecture improves processing speeds and enhances specificity and sensitivity values, fortifying chaotic map performance. Our experimental results and comprehensive security analysis demonstrate the security and performance of the framework. Correlation Analysis using Person correlation coefficient, with a nearing zero value, ensures the confidentiality of the encrypted image.
In the context of secure communication, the increasing capabilities of quantum computing present a significant challenge to traditional encryption methods. To address this issue, this study explores an innovative approach to image encryption by utilizing quantum gates. By harnessing the fundamental principles of quantum mechanics and quantum computing, the research introduces a novel encryption framework implemented through Quantum Circuit in Qiskit. The study begins with a thorough examination of quantum gates and classical encryption techniques, pointing out the vulnerabilities of classical systems in the face of quantum advancements. The encryption process involves converting images into their binary forms and then applying quantum circuits to achieve encryption. Through a series of experiments, the proposed approach’s performance is evaluated by analyzing encrypted images and various security metrics. The findings 139 highlight the potential of quantum-based encryption techniques to enhance the security of communications in the quantum era. This work contributes to the growing field of quantum cryptography by demonstrating the feasibility of applying quantum gates to secure image transmission. Furthermore, it opens the door to exploring future advancements in quantum encryption methods and their practical integration into real-world communication systems.