The Internet of Things (IoT) has proven effective in automating various tasks and finding applications in real-world scenarios such as intelligent industries, smart agriculture, e-healthcare, and environment exploration. Nevertheless, their applications demand secure data transmission, as IoT devices remain susceptible to hacking, potentially leading to data breaches. Such breaches can disrupt device operations, posing risks such as fires, impacts on health, and even jeopardizing lives. These security issues are being addressed using blockchain, which has proven effective in classical computing architectures. However, the technology is gradually transitioning towards quantum computing, which has significant processing power that could easily compromise the algorithms employed by blockchain. Thus, there is a need to use quantum computing approaches. In this work, we propose a small IoT environment for a bit encoding and decoding using quantum superdense coding in the data transmission for IoT devices to validate the feasibility of quantum algorithms in IoT. We tested sending integers through two emulated Raspberry Pi devices in VirtualBox. On each Raspberry Pi, we implemented superdense coding to encode and decode the integers sent by the neighbor device via MQTT. Comparing the source data with the target data, the results indicated zero errors in data transmission, confirming that superdense coding is feasible in the IoT context. The average execution time for data decoding was 0, 39 seconds based on 50 tests.
The Internet of Things (IoT) has proven effective in automating various tasks and finding applications in real-world scenarios such as intelligent industries, smart agriculture, e-healthcare, and environment exploration. Nevertheless, their applications demand secure data transmission, as IoT devices remain susceptible to hacking, potentially leading to data breaches. Such breaches can disrupt device operations, posing risks such as fires, impacts on health, and even jeopardizing lives. These security issues are being addressed using blockchain, which has proven effective in classical computing architectures. However, the technology is gradually transitioning towards quantum computing, which has significant processing power that could easily compromise the algorithms employed by blockchain. Thus, there is a need to use quantum computing approaches. In this work, we propose a small IoT environment for a bit encoding and decoding using quantum superdense coding in the data transmission for IoT devices to validate the feasibility of quantum algorithms in IoT. We tested sending integers through two emulated Raspberry Pi devices in VirtualBox. On each Raspberry Pi, we implemented superdense coding to encode and decode the integers sent by the neighbor device via MQTT. Comparing the source data with the target data, the results indicated zero errors in data transmission, confirming that superdense coding is feasible in the IoT context. The average execution time for data decoding was 0, 39 seconds based on 50 tests.
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.
Quantum computing is a new approach to data processing based on the quantum mechanics principles. Its unique capabilities, such as superposition and entanglement, open new horizons for the development of intelligent distributed systems, including the Internet of Things (IoT). This article discusses the basic principles of quantum computers, the current state of technology, and their impact on the future of the IoT. Quantum algorithms can significantly improve the efficiency of data processing, optimization of network resources, and cybersecurity in the IoT environment. In addition, quantum cryptography provides a higher level of protection for information transmitted between IoT devices. The development of quantum computing can change existing paradigms in the IoT field, contributing to the creation of more scalable, secure, and intelligent systems. This opens new prospects for the implementation of quantum solutions in areas such as smart cities, healthcare, industry, and autonomous transport.
The rapid implementation of the Internet of Things (IoT) has raised security concerns, therefore revealing significant vulnerabilities in many sectors, including smart cities, healthcare, and agriculture. This extensive analysis of quantum computing and IoT security devices delineates the advantages of quantum algorithms and the potential for securing communication. Protocols including quantum concepts such as superposition, entanglement, and quantum interference, leading to safe key distribution and authentication procedures, are examined. This paper introduces a novel strategy to reduce the risks that quantum computing presents to IoT systems, which current cryptography solutions fail to adequately address. Quantum computers may use these vulnerabilities to undermine key-pair formation and get private keys from transaction signatures. These transaction signatures are optimized for low-power, cost-effective microcontrollers, such as the ESP32, making the solution accessible for a diverse array of IoT devices. The report features a case study on a post-quantum secure portable device for detecting blood oxygen levels and heart rate, demonstrating the practical advantages and efficacy of the suggested method in improving IoT security against quantum threats. The review addresses quantum key distribution (QKD) protocols, quantum authentication methods proposed as solutions, and the difficulties associated with implementing quantum cryptography techniques in IoT systems. This review assesses the feasibility of quantum-enabled communication, explores its applications across several industries, and examines existing quantum software tools. The objective is to provide a basis for future research and effective practical solutions in the dynamic realm of IoT security.
The rapid expansion of the Internet of Things (IoT) has transformed the way physical devices communicate, process information, and provide intelligent services.With billions of interconnected devices generating enormous volumes of heterogeneous data, conventional computing architectures increasingly face limitations in computational efficiency, security, optimisation, and scalability.Quantum computing has emerged as a disruptive paradigm capable of solving computationally intensive problems exponentially faster than classical computers for selected problem classes.Integrating quantum computing with IoT offers unprecedented opportunities for intelligent decision-making, real-time optimisation, secure communication, and enhanced machine learning.Quantum-enhanced IoT (QIoT) combines quantum algorithms, quantum machine learning, quantum communication, and post-quantum cryptography to create highly efficient and secure smart systems.Applications span healthcare, industrial automation, smart cities,
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.
Quantum computing represents the quantum mechanical concept, may have important benefits over the traditional computing. This benefit of quantum computing offers solutions to numerous challenges in secure communication and banking that were previously intractable. The Internet of Things (IoT) is a new technology which works with a large amount of data. Securing IoT data communication is necessary. Cryptographic algorithms like RSA and ECC are the foundation of the IoT security architecture that is now in place. These algorithms’ security was significantly impacted by quantum computing. As a result, our research examines the security issues with quantum-based technologies and IoT smart applications. This article offers an overview of the foundations of quantum computing and how it affects the security of IoT devices. This work intends to present a comprehensive view of IoT communication facilitated by quantum technology. In our work, we also analyse the main obstacles to deploying quantum-enabled communication.