Greater security pledges, reduced latency, and increased energy efficiency are now more important than ever due to the Wireless Sensor Networks' (WSNs) explosive growth. Although they work well for many distributed systems, traditional cryptography techniques are slow for mission-critical sensor applications and are still susceptible to new quantum attackers. In order to improve WSN security and performance, this study proposes a unified framework that combines Quantum Key Distribution (QKD) with 5G communication capabilities. This expanded work builds on previous simulation studies before and after the third Doctoral Committee evaluation. It includes a refined 5G-enabled architecture, a lightweight QKD model, and extensive simulations that capture energy consumption, bandwidth variation, latency, Packet Delivery Ratio (PDR), and Quantum Bit Error Rate (QBER). The findings show that while QKD maintains robust security even under controlled levels of quantum noise, 5G-assisted WSNs greatly increase bandwidth usage and communication delay. The proposed 5G–QKD WSN consistently delivers decreased latency, stable PDR, and enhanced security without imposing severe energy penalties, according to comparative simulations versus classical LEACH and MULE-based baselines. These results lend credence to the viability of hybrid quantum-enhanced wireless networks for critical infrastructure monitoring, smart environments, and future extensive IoT deployments.
Greater security pledges, reduced latency, and increased energy efficiency are now more important than ever due to the Wireless Sensor Networks' (WSNs) explosive growth. Although they work well for many distributed systems, traditional cryptography techniques are slow for mission-critical sensor applications and are still susceptible to new quantum attackers. In order to improve WSN security and performance, this study proposes a unified framework that combines Quantum Key Distribution (QKD) with 5G communication capabilities. This expanded work builds on previous simulation studies before and after the third Doctoral Committee evaluation. It includes a refined 5G-enabled architecture, a lightweight QKD model, and extensive simulations that capture energy consumption, bandwidth variation, latency, Packet Delivery Ratio (PDR), and Quantum Bit Error Rate (QBER). The findings show that while QKD maintains robust security even under controlled levels of quantum noise, 5G-assisted WSNs greatly increase bandwidth usage and communication delay. The proposed 5G–QKD WSN consistently delivers decreased latency, stable PDR, and enhanced security without imposing severe energy penalties, according to comparative simulations versus classical LEACH and MULE-based baselines. These results lend credence to the viability of hybrid quantum-enhanced wireless networks for critical infrastructure monitoring, smart environments, and future extensive IoT deployments.
The requirement of efficient security protocols to protect confidential information from ever evolving cyber threat has been highlighted by the fast implementation of wireless sensor network (WSN) in numerous important domains, including healthcare monitoring, environmental surveillance and military operations. Despite their feasibility, traditional cryptographic approaches are utilized behind the computing capability of recent attackers, including the possibility of future quantum computer attacks. In order to revolutionize WSN security, this study proposes utilizing quantum cryptography and other concepts from quantum computing into the existing framework. This research leads to develop a communication protocol that is extremely safe and against the cyber-attacks. This protocol utilizes the quantum key distribution (QKD) to protect data and granting its confidential. In addition to improving security, the new architectures begin with change that makes WSN more capable of dependable and secure operations in environment where data protection is essential. A complete framework for protecting WSNs from new cyber threats in the future while keeping data transmissions and efficient process with reliability is discussed in this study. This proposed method enhances the dependencies in WSN installation across various industries, which is important for applications that need strong security measures. Evaluation results shows that the proposed method outperformed all existing methods in terms of relevant metrics.
The fast growth of Internet of Things (IoT) networks has heightened the demand for secure, scalable and energy efficient communications methods. Traditional cryptographic techniques are more susceptible to quantum computing attacks and therefore have pushed the necessity for quantum secure methods. This study presents an energy efficient artificial intelligence assisted quantum secure communication framework designed to scale and provide reliable IoT networks. The framework uses Quantum Key Distribution (QKD) combined with deep learning optimization to improve both relationship and network performance. A self-adaptive AI module applies its lower level of computational resources and dynamically changing network conditions in order to optimize key management, routing decisions, and resource allocation, which reduces both energy consumption and communication latency. The proposed system is intended to support the specific types of constraints faced within an IoT environment. The experimental simulation results demonstrate that the framework improves energy efficiency, increases packet delivery ratio, and decreases latency in IVN (Intelligent Vehicular Networks) by comparison with traditional means of secure communication. In addition, by combining AI and quantum communications, we increase our resilience to threats posed by both classical and quantum forms of attack while providing an added layer of protection for transmitting data between devices in future wireless networks. Additionally, this proposed framework will provide a very scalable and effective method for providing IoT solutions within the environment of 5G mobile networks or later generations.
The integration of quantum communication principles with 5G technology presents a groundbreaking approach to addressing the growing demand for high-speed, secure, and resilient communication systems. This paper proposes a Quantum-Driven Hybrid Network Architecture that leverages Quantum Key Distribution (QKD) for unparalleled security and combines it with 5G's ultra-fast data transmission capabilities. The architecture integrates key components such as QKD modules, 5G infrastructure, and edge computing, organized into a layered framework comprising quantum, network control, and application layers. Simulation results demonstrate significant improvements in throughput (up to 23.5%), latency reduction (up to 25%), and error rate reduction in high-noise environments (from 0.25% to 0.05%). The proposed system also exhibits enhanced security, achieving a 100% success rate in mitigating eavesdropping and man-in-the-middle attacks. Using resource-efficient mechanisms, the hybrid network achieves an overall accuracy of 97.8% in secure and resilient data transmission. This work validates the potential of quantum-enhanced 5G systems to meet the challenges of future communication networks.
Wireless Sensor Networks (WSNs) are promoting the spread of the Internet for devices in all areas of life, which makes it is a promising technology in the future. In the coming days, as attack technologies become more improved, security will have an important role in WSN. Currently, quantum computers pose a significant risk to current encryption technologies that work in tandem with intrusion detection systems because it is difficult to implement quantum properties on sensors due to the resource limitations. In this paper, quantum computing is used to develop a future-proof, robust, lightweight and resource-conscious approach to sensor networks. Great emphasis is placed on the concepts of using the BB84 protocol with the AES algorithm in WSN security. The results of analysis indicated a high level of security between the data by depending on the generation of secure keys, and reached an accuracy rate of about (80-95) % based on using NIST statistical. The efficiency of the work increased to 0.704 after using the Quantum Bit Error Rate equation, eventually increasing the network performance. This results in the reduction of the overall amount of energy, and the time required for performing the key exchange in the encryption and decryption processes decreased.
The rapid development of Internet of Things (IoT) applications has led to the large-scale deployment of wireless sensor networks (WSNs) that incessantly generate and transmit sensitive data over wireless networks.Although the current mostly used symmetric encryption algorithm for securing such networks is the Advanced Encryption Standard (AES), the advent of quantum computing threatens the long-term security of AES, as well as the weaknesses inherent to the key generation, distribution, and lifecycle management.This research paper proposes a Quantum Enhanced AES framework for IoT based WSNs which integrates the use of Quantum Random Number Generator (QRNG) based high entropy key generation, key injection against side channel attacks and dynamic session-based rekeying.Compared with classical AES and two state-of-the-art security frameworks based on quantum computing, i.e., QKDassisted AES scheme and lightweight post-quantum security hybrid AES framework, the proposed scheme increases the entropy of the key by about 20% (from 0.82 to 0.99), and lowers the key exposure risk by more than 60% by using session-based rekeying.Simulation results indicate that the proposed method can achieve up to 8 to10% higher throughput and 22% lower end-to-end delay than post-quantum AES schemes, and also prolongs the network lifetime by almost 15% under realistic IoT-WSN workloads.The framework maintains and does not alter the AES standard compliance and does not make any changes to the AES core, thus it ensures practical applicability.These results show that the proposed approach offers a good quantum resilience with low performance and energy overhead, which is suitable for long-lived and security-critical IoT-WSN deployment.
The resource limitations of IoT nodes and the vulnerability of wireless channels to cyberattacks and snooping, the quick spread of Internet of Things (IoT) devices in wireless surroundings has created serious challenges to data security and privacy. The development of quantum computing, which can meritoriously crack classical encryption, is posing a growing threat to recognized cryptographic techniques like RSA and ECC. By applying concepts from quantum mechanics like predicament cloning, quantum cryptography, in particular Quantum Key Distribution (QKD), provides tentatively unbreakable security. In order to integrate lightweight quantum key exchange with traditional IoT communication protocols, this paper proposes a comprehensive Quantum Cryptography Framework (QCF) exactly designed for Wireless IoT networks. The framework is made to preserve energy efficiency while certifying forward secrecy, confidentiality, integrity, and authentication. A performance evaluation in terms of latency, throughput, and resistance to quantum attacks supports our discussion of the architecture, working mechanism, and implementation deliberations. The findings show that, when compared to traditional encryption methods, the suggested QCF greatly improves the security of wireless IoT systems, certifying resilience against oppositional models of the future.