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.
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.
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.
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.
The rapid growth in the storage and transmission of visual data across communication, sensing, and decision-making systems requires image encryption methods that are both computationally efficient and resilient against quantum-enabled adversaries. Classical chaotic encryption offers desirable properties such as sensitivity, unpredictability, and large key spaces, but its practical use is limited by restricted chaotic ranges, and conventional confusion–diffusion mechanisms often fail to eliminate structural redundancies in images. This thesis furthers the field by developing novel chaotic and gate-efficient quantum image encryption architectures. First, it introduces a new cosine-modulated polynomial chaotic map and validates its dynamical and statistical suitability for cryptographic key generation. Second, it designs lightweight yet effective chaotic primitives, including the Single-Round Single S-Box (SRSS) confusion mechanism and the featureaware diffusion scheme (PermutEx) that address the limitations in breaking correlation and maintaining efficiency. Third, these components are integrated into a complete endto- end chaos-based encryption framework that combines feature-driven segmentation, adaptive permutation, and dynamic confusion, demonstrating strong security across entropy, correlation, and differential metrics. Finally, the thesis advances two quantum image encryption architectures, i.e., a chaos-enhanced quantum image encryption framework that strengthens quantum confusion and diffusion mechanisms, and a gate-efficient architecture that reduces circuit depth and multi-qubit operations while retaining robust security. The proposed architectures achieve improved computational efficiency compared to existing chaos-based and quantum image encryption techniques, by reducing redundant operations, minimising circuit depth, and enabling lightweight yet effective confusion-diffusion processes. Consequently, this thesis provides a way forward for advancing image encryption by integrating chaotic and quantum approaches, offering practical steps for protecting visual data in the post-quantum era.
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.
To secure and protect the photos from unfair tactics, the encryption process is used. the advent of the digital era has made it exceedingly easy to hack any data kept on the cloud. Encryption is critical to ensuring communication security, which is a crucial issue. There are numerous photo encryption methods that mostly rely on chaotic logistic maps; however, they have downsides such a small key space and low security. Current analysis introduced experimental results of quantum chaotic cryptosystem,3D-Chaotic map and quantum chaotic logistic map. This paper we measure image encryption parameters are Entropy, structural similarity index measure, combined average changing intensity and net pixel change rate which defines utilization of suitable image encryption approaches. For the cypher and the original image, we quantify the correlation coefficient value in both the horizontal and vertical positions with comparison of all three existing Approach-es performance. The scientific and practical economic results reveal that the quantum chaotic cryptosystem has outstanding performance and in future with utilization of advanced Approaches we can resist various cryptographic attacks.
The advent of quantum computers could enable the resolution of complex computational problems that conventional cryptographic protocols find challenging. As a result, the formidable computing capabilities of quantum computers may render all present-day cryptographic schemes that rely on computational complexity ineffectual. Inspired by these possibilities, the primary purpose of this paper is to suggest a quantum image encryption scheme based on quantum cellular automata with mixed multi-chaos hybrid maps and a hyperchaotic system with quantum operations. To achieve desirable encryption outcomes, we designed an encryption scheme involving two main operations: (1) pixel-level diffusion and (2) pixel-level permutation. Initially, the secret keys generated using the hyperchaotic system were closely tied to the original image. During the first phase, the establishment of correlations among the image pixels, in addition to the three chaotic sequences obtained from the hyperchaotic system, was achieved with the application of a quantum-state superposition and measurement principle, wherein the color information of a pixel is described using a single qubit. Therefore, the three channels of the plain image were subjected to quantum operations, which involve Hadamard transformation and the quantum-controlled NOT gate, before the diffusion of each color channel with the hyperchaotic system. Subsequently, a quantum ternary Toffoli gate was used to perform the diffusion operation. Next, the appropriate measurement was performed on the three diffused channels. To attain the confusion phase, a blend of mixed multi-chaos hybrid maps and a two-dimensional quantum cellular automaton was used to produce random and chaotic sequence keys. Subsequently, the circular shift was utilized to additionally shuffle the rows and columns of the three diffused components, in order to alter the positions of their pixel values, which significantly contributes to the permutation process. Lastly, the three encoding channels, R, G, and B, were merged to acquire the encrypted image. The experimental findings and security analyses established that the designed quantum image encryption scheme possesses excellent encryption efficiency, a high degree of security, and the ability to effectively withstand a diverse variety of statistical attacks.