In the current era, the exponential rise in security threats is a significant concern, extending beyond the realm of the Internet of Things (IoT). The data being transferred and stored requires a robust encryption and decryption mechanism. The existing system utilizes the SHA algorithm and various encryption methods to secure image data. However, with the evolution of next-generation networks, quantum techniques pose a potential threat to decrypting existing cryptographic methodologies. These quantum techniques can extract data from the internet today and process it in the future. To address this looming cybersecurity challenge, this paper proposes a novel technique—a post-quantum cryptographic method designed to withstand quantum attacks in the near future. Specifically, the paper introduces a wavelength multiplexing embedded post-quantum technique capable of encrypting multiple high-resolution Millimeter-wave images. Each image, representing a pixel value of 4160 horizontally and 3120 vertically, contributes to the overall security of the method. The proposed wavelength multiplexing method is compared with the BBM92 protocol in terms of processing speed, confidentiality, integrity, and nonrepudiation. Post quantum cryptographic method works in the quantum computers are fast, reliable in qubits ensures authentication, verify the identity of a system in IOT networks make the scope to support the future networks working in quantum environment and simulation environment shows a promising result in terms of encrypt time, and sum rate of the cryptographic system models.
In the current era, the exponential rise in security threats is a significant concern, extending beyond the realm of the Internet of Things (IoT). The data being transferred and stored requires a robust encryption and decryption mechanism. The existing system utilizes the SHA algorithm and various encryption methods to secure image data. However, with the evolution of next-generation networks, quantum techniques pose a potential threat to decrypting existing cryptographic methodologies. These quantum techniques can extract data from the internet today and process it in the future. To address this looming cybersecurity challenge, this paper proposes a novel technique—a post-quantum cryptographic method designed to withstand quantum attacks in the near future. Specifically, the paper introduces a wavelength multiplexing embedded post-quantum technique capable of encrypting multiple high-resolution Millimeter-wave images. Each image, representing a pixel value of 4160 horizontally and 3120 vertically, contributes to the overall security of the method. The proposed wavelength multiplexing method is compared with the BBM92 protocol in terms of processing speed, confidentiality, integrity, and nonrepudiation. Post quantum cryptographic method works in the quantum computers are fast, reliable in qubits ensures authentication, verify the identity of a system in IOT networks make the scope to support the future networks working in quantum environment and simulation environment shows a promising result in terms of encrypt time, and sum rate of the cryptographic system models.
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 Internet of Things (IoT) has grown rapidly, transforming various aspects of daily life into intelligent systems capable of collecting and exchanging data in real time. At the same time, advances in quantum computing have given rise to powerful quantum computers capable of processing complex tasks at unprecedented speed. This disparity between the limited resources of IoT devices and the capabilities of quantum computers poses significant security challenges. Quantum computers introduce new vulnerabilities that threaten IoT systems, particularly in critical applications such as connected healthcare, industrial networks, smart infrastructure, and secure embedded systems. This study reviews the existing literature on post-quantum cryptography (PQC) applied to IoT devices. It analyzes the characteristics and security requirements of IoT environments, current security technologies, and unresolved issues. It highlights the growing threat of post-quantum attacks and the need to adapt security strategies. Finally, the study explores post-quantum code-based cryptosystems as solutions to enhance the security of resource-constrained IoT applications and ensure their resilience against future challenges.
The Internet of Things (IoT) is involved in almost every industry, paving the way for innovative applications, including smart cities, intelligent systems, smart homes, smart agriculture, healthcare, and more. However, due to their asset value, these applications are under continuous and evolving cyberattacks. Furthermore, the advent of quantum computing presents a severe threat to traditional cryptographic methods that typically secure IoT systems, potentially rendering existing security mechanisms ineffective against quantum-enabled attacks. To tackle quantum-enabled and traditional cyberattacks, post-quantum cryptography (PQC) has emerged as a promising solution for providing future-proof security for IoT devices and networks against the quantum computing threat. PQC algorithms can resist cyberattacks from classical and quantum computers, ensuring long-term security solutions. This article explores the integration of PQC into practical IoT systems. It highlights the vulnerabilities of classical cryptographic methods and the necessity of transitioning to quantum-resistant solutions. Moreover, the implementation of PQC on IoT systems is analyzed. By proactively exploring the opportunities and challenges associated with PQC, this research lays out future directions for implementing robust, scalable, and secure IoT systems.
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.
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.
The emergence of quantum computing seriously threatens the security of legacy cryptographic protocols in consumer electronics devices based on the Internet of Things (IoT). These are essential components of mission-critical infrastructures, such as industrial control systems, smart grids, and healthcare. In particular, this work examines how to strengthen the resistance of the IoT to classical and quantum-based cyberattacks by combining deep learning methods with post-quantum cryptography (PQC). To protect key exchange, encryption, and authentication processes in IoT-consumer devices, we will continue to use quantum-resistant cryptographic algorithms, including lattice-based, hash-based, and code-based cryptography. To provide real-time anomaly detection and response capabilities, we suggest a hybrid security framework combining PQC with deep learning-based intrusion detection systems. Our methodology ensures secure communications and data exchanges linked to quantum attacks in the future within IoT systems while leveraging continuous learning over time to allow Intrusion Detection System (IDS) models to adapt to new attack vectors. We suggest optimized algorithms for PQC solutions that are lightweight and suitable for deployment in edge computing nodes and Internet of Things devices, considering the resource-constrained IoT situations where PQC implementation would be difficult. Through comparative studies and simulations, we demonstrate how our integrated PQC-deep learning framework offers an improved IoT security solution that could safeguard vital systems in a world powered by quantum technology. The results shows the key generation time which is 12.5ms, encryption/decryption time 25.3ms, latency 18.7ms, throughput 5000 operations/sec and energy consumption 2.4mJ.