Enhancing data security and privacy in distributed computing environments presents a key challenge in effectively deploying quantum protocols on edge devices with limited resources. The objective of this project is to enhance the security of edge devices by integrating secure quantum communication protocols using Quantum-Enhanced Generative Adversarial Networks (QE-GANs). To provide safe quantum communication integration for QE-GANs on edge devices, researchers can gather the necessary data through the data collection process from edge devices. For data pre-processing in speech recognition applications, Mel-frequency Cepstral Coefficients (MFCCs) are a popular choice. Measurement-Device-Independent Quantum Key Distribution (MDI-QKD) is a cutting-edge method that provides advanced security compared to conventional QKD for secure communication among edge devices. SMLA refers to secure multiparty logic and its utilization, a framework that enables secure communication between multiple parties while ensuring the confidentiality and integrity of the transmitted data. Qubit-masked messages (QMM) and Quantum Coded Modulated Discrete Permutation (QC-MDPC) are two sophisticated quantum communication methods for data encryption. ρ represents the quantum state density matrix; DFR refers to Device-Independent Quantum Secure Randomness Generation Protocol. MATLAB will be utilized to simulate and analyse the performance of QE-GANs) for integrating secure quantum communication protocols into edge devices. The findings show that the peak energy value of 23.7568 represents the dominant frequency component, which plays a key role in significantly influencing the signal. Integrating secure quantum communication protocols with edge devices via QE-GANs could revolutionize data privacy, enhancing real-time encryption, robust authentication, and decentralized trust, paving the way for next-gen secure IoT networks.
Enhancing data security and privacy in distributed computing environments presents a key challenge in effectively deploying quantum protocols on edge devices with limited resources. The objective of this project is to enhance the security of edge devices by integrating secure quantum communication protocols using Quantum-Enhanced Generative Adversarial Networks (QE-GANs). To provide safe quantum communication integration for QE-GANs on edge devices, researchers can gather the necessary data through the data collection process from edge devices. For data pre-processing in speech recognition applications, Mel-frequency Cepstral Coefficients (MFCCs) are a popular choice. Measurement-Device-Independent Quantum Key Distribution (MDI-QKD) is a cutting-edge method that provides advanced security compared to conventional QKD for secure communication among edge devices. SMLA refers to secure multiparty logic and its utilization, a framework that enables secure communication between multiple parties while ensuring the confidentiality and integrity of the transmitted data. Qubit-masked messages (QMM) and Quantum Coded Modulated Discrete Permutation (QC-MDPC) are two sophisticated quantum communication methods for data encryption. ρ represents the quantum state density matrix; DFR refers to Device-Independent Quantum Secure Randomness Generation Protocol. MATLAB will be utilized to simulate and analyse the performance of QE-GANs) for integrating secure quantum communication protocols into edge devices. The findings show that the peak energy value of 23.7568 represents the dominant frequency component, which plays a key role in significantly influencing the signal. Integrating secure quantum communication protocols with edge devices via QE-GANs could revolutionize data privacy, enhancing real-time encryption, robust authentication, and decentralized trust, paving the way for next-gen secure IoT networks.
The rapid proliferation of Internet of Things devices (IoT) across healthcare, smart homes, transportation, and industrial automation has led to an unprecedented exchange of sensitive data over wireless channels, exposing these networks to cyberattacks, eavesdropping, and unauthorized access.Conventional cryptographic techniques, which rely on computational hardness assumptions, are increasingly vulnerable to the emerging capabilities of quantum computing.This paper explores the application of Quantum Key Distribution (QKD) as a means of enabling secure and dependable data communication for IoT devices.By exploiting the fundamental principles of quantum mechanics, QKD allows two communicating parties to generate a shared secret key while inherently detecting any attempt at interception.The proposed approach aims to enhance data privacy, ensure secure authentication, preserve confidentiality, and safeguard IoT systems against present and future quantum enabled threats.The integration of quantum based security techniques into existing IoT infrastructure is examined, along with its implications for improving the reliability and trustworthiness of wireless IoT communication systems.This work positions Quantum Enhanced Secure Data Communication as a forward looking security solution for next generation IoT networks.
The exponential growth of the Internet of Things (IoT) and its integration into critical infrastructures has elevated the need for robust and future-proof security mechanisms. Traditional cryptographic systems, while effective today, are increasingly vulnerable to advancements in quantum computing. This paper explores the integration of Quantum Key Distribution (QKD) as a novel security paradigm for next-generation IoT ecosystems. QKD leverages the principles of quantum mechanics to enable unconditionally secure key exchange, immune to computational attacks. We propose an architecture where QKD-enabled edge gateways and IoT nodes facilitate real-time secure communication through quantum-secured channels. The study analyzes the feasibility of implementing QKD in resource-constrained IoT environments and evaluates its performance in terms of key generation rate, latency, and energy consumption. Simulation results demonstrate that the proposed QKD-IoT framework significantly outperforms conventional encryption protocols in resisting both classical and quantum-based attacks, making it a viable foundation for building post-quantum resilient IoT infrastructures. The research also outlines the challenges related to scalability, hardware integration, and key management, and proposes solutions through hybrid QKD-classical cryptography models. This work paves the way for a quantum-secure IoT future, ensuring trust, privacy, and integrity in hyper-connected digital ecosystems.
Robust security is vital in cloud computing due to the proliferation of sensitive data. This paper presents an innovative quantum-based security framework to address emerging threats. Measurement-Device-Independent Quantum Key Distribution (MDI-QKD) enhances data transmission security by establishing unhackable channels through quantum entanglement, ensuring data integrity. Quantum Homomorphic Encryption (QHE) enables secure computations on encrypted data, ensuring confidentiality during storage. The Quantum Secure Storage and Management Communication (QSSMC) protocol ensures end-to-end privacy and prevents unauthorized access throughout the cloud data lifecycle. Additionally, Quantum Random Number Generation (QRNG) leverages quantum uncertainty to generate truly random numbers, mitigating the risks of pseudo-randomness and strengthening cryptographic applications. By integrating MDI-QKD, QHE, QSSMC, and QRNG, this framework provides robust security, confidentiality, and data integrity. Implemented in Python with a scalability rate of 95%, it offers a comprehensive solution for modern cloud computing challenges.
The rapid proliferation of Internet of Things (IoT) devices has revolutionized digital communication, yet it simultaneously poses unprecedented security challenges due to constrained device capabilities and increasing cyber threats. Conventional cryptographic techniques, while currently effective, are vulnerable to emerging quantum computing technologies that threaten to render classical encryption obsolete. This paper explores the integration of quantum-safe cryptographic techniques within IoT networks to ensure long-term confidentiality, integrity, and authentication. It examines post-quantum cryptographic primitives, including lattice-based, hash-based, multivariate, and code-based schemes, and evaluates their suitability for resource-constrained IoT environments. The study focuses on lightweight implementation strategies, balancing computational efficiency with robust security requirements. Simulation analyses demonstrate that properly optimized quantum safe protocols can provide resilient encryption, key exchange, and digital signature functionalities without overwhelming device resources. Furthermore, the integration of these techniques with IoT communication standards and secure network protocols ensures end-to-end protection across heterogeneous networks. Challenges such as latency, energy consumption, and scalability are addressed, highlighting the necessity of tailored cryptographic solutions for diverse IoT applications. The findings confirm that quantum safe cryptography is essential for future-proofing IoT networks, offering sustainable security measures that remain resilient against both classical and quantum adversaries, thereby supporting the continued expansion of secure and intelligent interconnected systems.
The absolute security of quantum communication protocols relies on a critical premise: all participating parties are legitimate users. Ensuring the legitimacy of participant identities is paramount in complex real-world communication environments. Quantum identity authentication (QIA), in which fundamental principles of quantum mechanics are used to achieve unilateral or mutual authentication between communicating parties, constitutes an indispensable core component for building a comprehensive quantum secure communication system. It holds significant research value in the field of quantum communication. This review employs a comparative classification method to systematically outline the research trajectory of QIA protocols. By categorizing protocols based on the required quantum resources and the types of quantum protocols employed, the advantages and disadvantages of various categories are analyzed in terms of efficiency, security, and practicality. Single-photon protocols require low resources, and they are easy to implement, and compatible with existing optical components, but require high-efficiency single-photon detectors and exhibit weak noise resistance. Entangled-state protocols offer high security and strong resistance to eavesdropping, particularly suitable for long-distance or multi-party authentication. However, they greatly depend on the preparation and maintenance of high-precision, stable multi-particle entanglement sources, resulting in high experimental complexity. Continuous-variable (CV) protocols achieve high transmission efficiency in short-distance metropolitan area networks and are compatible with classical optical communication equipment, making experiments relatively straightforward. Yet, they require high-precision modulation technology and are sensitive to channel loss. Hybrid protocols aim to balance resource efficiency and security while reducing reliance on a single quantum source, but their design is complex and may introduce new attack vectors. Quantum key distribution (QKD) framework protocols embed identity authentication in the key distribution process, making them suitable for scenarios requiring long-term secure key distribution, although they often depend on pre-shared keys or trusted third parties. Quantum secure direct communication (QSDC) framework protocols integrate authentication with secure direct information transmission, offering high efficiency for real-time communication, but requiring high channel quality. Measurement-device-independent QSDC (MDI-QSDC) represents a key development direction that can resist attacks on measurement devices. Quantum teleportation (QT) framework protocols achieves cross-node authentication and unconditional security, making it suitable for quantum relay networks despite its high experimental complexity. The entanglement swapping framework protocol can resist conspiracy attacks and is suitable for multi-party joint scenarios, but it consumes a lot of resources and relies on trusted third party. Ping-pong protocol framework supports dynamic key updates and exhibits strong resistance to eavesdropping, making it suitable for temporary authentication on mobile terminals, although it typically only supports unilateral authentication and requires a bidirectional channel. Subsequently, this review details the latest QIA protocols of our research group, including a multi-party synchronous identity authentication protocol based on Greenberger-Horne-Zeilinger (GHZ) states, and a tripartite QSDC protocol with identity authentication capabilities utilizing polarization-spatial super-coding. The GHZ-based multi-party synchronous authentication protocol leverages the strong correlations inherent in GHZ states to achieve simultaneous authentication among multiple parties. Through a carefully designed two-round decoy-state detection mechanism, it effectively resists both external eavesdropping and internal attacks originating from authenticated users, thereby enhancing the efficiency and security of identity management in large-scale quantum networks. The core innovation of the polarization-spatial super-coding tripartite QSDC protocol lies in its deep integration of the authentication process with information transmission by utilizing the spatial degrees of freedom of single photons. This design accomplishes the identity verification of two senders and the transmission of secret information within a single protocol run, ensuring end-to-end security through a three-stage security check. This “authentication-as-communication” paradigm significantly improves the overall efficiency and practicality of the protocol. Its successful implementation also relies on advancements in quantum memory technology. Finally, the review outlines future research directions for quantum identity authentication and explores its potential applications in quantum communication. The QIA research needs to focus on reducing resource dependency, exploring more efficient protocol designs, further enhancing protocol integration and robustness, prioritizing the development of protocols adaptable to real-world environments, and actively investigating integration with novel scenarios. This comprehensive review aims to provide theoretical research foundations and technical support for the practical development of future quantum identity authentication.
As sixth-generation (6G) wireless networks come into existence, there is more ever-growing demand for high-speed and secure communication than ever before. Conventional cryptographic methods are facing growing constraints to keep pace with the challenging reality of cyberattacks. Quantum-based communication technologies like quantum key distribution (QKD), quantum encryption, and quantum-resistant protocols provide an inherently secure means of transmitting data. This study examines how quantum communication technologies can be embedded within 6G architectures to provide enhanced data protection. With the help of AI and machine learning, 6G networks are able to anticipate threats and counter them, and quantum technologies offer unbreakable physical-layer encryption. Proposed work examines the security, architectural requirements, and implementation practicalities of this integration. In addition, we discussed the potential effect of quantum computing on present cryptographic techniques and describe future research directions for deployment at scale of quantum-secure communication in next-generation wireless systems.