The Internet of Things (IoT) strongly influences the world economy; this emphasizes the importance of securing all four aspects of the IoT model: sensors, networks, cloud, and applications. Considering the significant value of public-key cryptography threats on IoT system confidentiality, it is vital to secure it. One of the potential candidates to assist in securing public key cryptography in IoT is quantum computing. Although the notion of IoT and quantum computing convergence is not new, it has been referenced in various works of literature and covered by many scholars. Quantum computing eliminates most of the challenges in IoT. This research provides a comprehensive introduction to the Internet of Things and quantum computing before moving on to public-key cryptography difficulties that may be encountered across the convergence of quantum computing and IoT. An enhanced architecture is then proposed for resolving these public-key cryptography challenges using SimuloQron to implement the BB84 protocol for quantum key distribution (QKD) and one-time pad (OTP). The proposed model prevents eavesdroppers from performing destructive operations in the communication channel and cyber side by preserving its state and protecting the public key using quantum cryptography and the BB84 protocol. A modified version is introduced for this IoT situation. A traditional cryptographic mechanism called "one-time pad" (OTP) is employed in hybrid management.
The Internet of Things (IoT) strongly influences the world economy; this emphasizes the importance of securing all four aspects of the IoT model: sensors, networks, cloud, and applications. Considering the significant value of public-key cryptography threats on IoT system confidentiality, it is vital to secure it. One of the potential candidates to assist in securing public key cryptography in IoT is quantum computing. Although the notion of IoT and quantum computing convergence is not new, it has been referenced in various works of literature and covered by many scholars. Quantum computing eliminates most of the challenges in IoT. This research provides a comprehensive introduction to the Internet of Things and quantum computing before moving on to public-key cryptography difficulties that may be encountered across the convergence of quantum computing and IoT. An enhanced architecture is then proposed for resolving these public-key cryptography challenges using SimuloQron to implement the BB84 protocol for quantum key distribution (QKD) and one-time pad (OTP). The proposed model prevents eavesdroppers from performing destructive operations in the communication channel and cyber side by preserving its state and protecting the public key using quantum cryptography and the BB84 protocol. A modified version is introduced for this IoT situation. A traditional cryptographic mechanism called "one-time pad" (OTP) is employed in hybrid management.
The Internet of Things (IoT) is shaping the world of every economy and client. By 2023, clients, companies, and governments will be able to install a total of 40 billion IoT devices worldwide. The 2021's challenges simply confirmed the necessity to secure all four elements of the IoT Model: Sensors, Networks, Cloud, and Applications. Therefore, it is important to be pragmatic regarding the extreme threats and high worth of attacks on secrecy in IoT systems. Although the concept of convergence of IoT and Quantum Computing is not a standby topic, it had been mentioned in several works of literature and coated by many researchers, however, nothing is getting ready for sensible applications thus far. Quantum Computing is not prepared nevertheless, it is so far from preparation on a billboard scale. Quantum computing resolves most of the issues in IoT however it occurs yet below the analysis phase and can take over a couple of years to induce in public obtainable use. During this research, the author will start through a broad introduction to the internet of things and Quantum Computing and carry on with issues that can be featured throughout the convergence of Quantum Computing and IoT. To solve these integration issues in terms of cryptography this research will also provide the answer. At long last, this research will call attention to the hybrid of both fields to existing IoT network design.
Securing Internet of things is a major concern as it deals with data that are personal, needed to be reliable, can direct and manipulate device decisions in a harmful way. Also regarding data generation process is heterogeneous, data being immense in volume, complex management. Quantum Computing and Internet of Things (IoT) coined as Quantum IoT defines a concept of greater security design which harness the virtue of quantum mechanics laws in Internet of Things (IoT) security management. Also it ensures secured data storage, processing, communication, data dynamics. In this paper, an IoT security infrastructure is introduced which is a hybrid one, with an extra layer, which ensures quantum state. This state prevents any sort of harmful actions from the eavesdroppers in the communication channel and cyber side, by maintaining its state, protecting the key by quantum cryptography BB84 protocol. An adapted version is introduced specific to this IoT scenario. A classical cryptography system ‘One-Time pad (OTP)’ is used in the hybrid management. The novelty of this paper lies with the integration of classical and quantum communication for Internet of Things (IoT) security.
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.
Evolution of internet had connected millions of devices across the globe, including smart gadgets for home uses like Smart TV, thermostat, and CCTV camera, etc. It had made the entire human community connected and access gadgets from every corner of the world through cloud infrastructure. An increase in Internet of Things (IoT) devices leads to a decrease in computational performance during machine interaction while computing and makes the IoT framework as a failure model. Other biggest challenges faced by the IoT devices are privacy and security of personal information due to adversary attack during device communication. The current safety measures like frequent password change, updating IoT devices regularly, secondary network usage Virtual Private Network (VPN), and avoiding plug and play features can be reliable up to a certain threshold but can't guarantee 100% security. The public key cryptography algorithm (Rivest, Shamir, Adleman [RSA]) that is considered to be a safe algorithm in the current era is in threat due to the invention of new technology. One-time pad (OTP) is considered an efficient encryption technique in secure communication in classical cryptography but lags in distributing the key between parties. The trade-off between increasing IoT devices and classical security measures is unbalanced, so required new technology to solve the problem. Development of cutting-edge technology, known as quantum computing, will be helpful in providing a sustainable solution for computational speed during machine communication and solving security issues in millions of IoT devices. Quantum technology work based on the principle of quantum physics works differently from current technology, which depends on classical physics. The classical cryptography works based on bits, which is predictable in nature, can be easily hacked but quantum uses qubits, which is superposition of 0 and 1. The measurement of unknown qubit that gives 1/2 probabilities to measure either in bit “0” or bit “1” makes difficult to predict the data. Grover's algorithm helps to search an unsorted database in O( https://www.w3.org/1998/Math/MathML"> √ n https://s3-euw1-ap-pe-df-pch-content-public-p.s3.eu-west-1.amazonaws.com/9781003268796/ff7c0afb-bead-450a-a822-68dbcc013133/content/math16_1.tif" xmlns:xlink=" https://www.w3.org/1999/xlink "/> ) as it takes O(n) in classical algorithm and Shor's algorithm in quantum computing, solving the factoring a large number in polynomial time as it takes exponential time by classical model. Heisenberg principles and no-cloning theorem are the properties of quantum mechanics and will solve the privacy issue and provide high-level security by identifying the involvement of unauthorized user in current communication. The uncertainty principle given by Heisenberg states that it's impossible to measure the unknown quantum states without disturbing it, which leads to identification of involvement of third party in it. Another quantum property is no-cloning theorem that means it's difficult to make the duplicate of the unknown states. So it's impossible for an adversary to clone the quantum state in order to snoop the quantum information in secure communication. Another variant of communication in quantum computing in entanglement where a third party will generate an entangled photon and send qubit to communicating parties. Measurement of qubit by one party will correlated with the measurement of other party which leads to generation of secure key. Quantum communications have various phases like quantum state preparation, state transmission, and state measurement which are entirely different from classical communication. Quantum secure direct communication (QSDC) is a two-way communications where two parties will transfer information directly in secure manner without the key. Another way is transferring the secure key between user using quantum key distribution (QKD) and OTP used to secretly share the information between them using ciphertext. Quantum and classical security approach should be joined together to obtain high-level security for the IoT security framework.
The next generation of Quantum Internet of Things (QIoT) has the potential to revolutionize various sectors, including smart homes, health-care, and smart cities, by enabling more sophisticated and interconnected systems. These applications incorporate advanced features, such as autonomous decision-making based on Quantum Artificial Intelligence and Machine Learning (QAI/ML) and context-aware functionality. The security of the data in these applications relies on traditional cryptographic techniques, which, however, face a growing threat due to the significant advancements in quantum computing, especially with the Shor's algorithm. This algorithm poses a substantial risk of breaking conventional cryptographic methods within a feasible timeframe. To address these emerging security challenges in the quantum realm, we propose a Quantum Key Distribution (QKD) based on the BB84 protocol. This approach aims to provide robust authentication using certificates through a classical channel and secure quantum key exchange via a quantum channel in a public environment. The proposed QKD scheme is implemented using a client-server model in Python and Qiskit, demonstrating its practicality in real-world applications. The obtained results showcase the successful establishment of a secure session key between IoT smart (sensor) devices and gateway nodes, effectively mitigating potential threats such as eavesdropping.
This paper analyzes the performance of two quantum key distribution (QKD) protocols, SARG04 and BB84, under different random quantum noise levels. It also looks at the protocols’ potential applications in Internet of Things (IoT) device security for a proposed architecture. In the proposed model, long-range photons are inherently vulnerable to quantum noise, which complicates real-world QKD implementations and jeopardizes the reliability and resilience of the secret key generation process. By simulating different noise situations, we evaluate the overall security performance, mistake rates, and key generation rates of the BB84 and SARG04 protocols. Our findings suggest that although both protocols can withstand moderate noise levels, SARG04 and BB84 perform similarly regarding secure key length. We also address the consequences of these results for the security of the Internet of Things, highlighting QKD’s role in minimizing vulnerabilities related to conventional cryptography techniques. QKD integration can improve data security and privacy in Internet of Things frameworks, offering a viable way to protect sensitive data in increasingly networked devices. This work significantly contributes to the current efforts in quantum cryptography research by providing insightful advice on protocol selection and secure IoT connectivity implementation techniques.