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.
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 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.
Quantum Computers are designed to be sufficiently large to be able to efficiently solve specific problems that would take an impractical amount of time to solve using classical computers. The most widely discussed application of quantum computing technology is more powerful algorithms, which efficiently solves all instances of integer factorization—a number theoretic problem that is the foundation of the most of the existing public-key encryption schemes. This means that all public-key cryptographic systems commonly used on the Internet for security will become as insecure as an open communication channel, easy to eavesdrop on or to tamper with. Moreover, traffic passes through numerous fixed, mobile and personal sensors connected to the Internet. This extremely large amount of data becomes the “air” of IoT and only a small part of it will be automatically analysed for a specific purpose. Nevertheless, an important part of the immense amount of data exchanged across the network is sensitive. Presently, these data communication and storage are protected by encryption, but that means of protection will be lost to a future quantum adversary. Because of these urgent necessities, products implementing quantum-resistant security solutions can be built and put into operation in a “post-quantum world”. This must be done now because cryptography research is currently inventing and standardizing new cryptographic algorithms. Once the new algorithms are widely and publicly agreed upon, systems with old encryption will remain vulnerable. This topic is motivated by the above.
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,
Internet-of-things (IoT) is the latest revolution in electronic industry after internet. Smart appliances, portable computing devices, mobile phones and handheld system dominates in IoT, because a large portion of world population use it. Major applications, mainly financial, e-commerce, information security and sensitive data-communication need special attention in terms of security. Device authentication, encryption, and key distribution are of vital importance to any Internet-of-Things (IoT) systems, such as the new smart city infrastructures. This is due to the concern that attackers could easily exploitthe lack of strong security in IoT devices to gain unauthorized access to the system or to hijack IoT devices to perform denial-of-service attacks on other networks. This creates a strong requirement for providing security solutions into these devices. Key Word: IOT; Communication; Data; Application; Server.
The Internet of Things (IoT) now underpins critical systems like healthcare monitors, smart home, smart grids, automotive V2V & V2X networks, and industrial controls but it still relies on classical cryptography, whose security assumptions are vulnerable to quantum computers. A large quantum computer could run Shor’s algorithm to break RSA/ECC and use Grover’s algorithm to accelerate brute-forcing of symmetric keys, undermining the confidentiality and authentication of data in these IoT applications. Researchers have proposed quantum cryptographic solutions. Quantum key distribution (QKD) and quantum random number generators (QRNGs) exploit quantum mechanics to detect eavesdropping and deliver provably secure key material. For example, chip-scale QRNGs can be embedded in IoT sensors to generate true random keys, boosting resistance to brute-force attacks. These quantum techniques provide information-theoretic secrecy, for instance, QKD-generated keys have been used to authenticate smart-grid SCADA. However, most IoT devices are resource-constrained, making direct deployment of conventional QKD hardware challenging. Post-quantum cryptography (PQC) complements quantum methods by providing algorithms such as lattice-based, hash-based that resist quantum attacks on existing hardware. Standardized PQC can be deployed via software updates on legacy IoT nodes, enabling scalable and quantum-safe security within current constraints. Researchers are exploring lightweight PQC for connected cars and e-health sensors. Hybrid approaches combining QKD/QRNG with PQC offer a layered defense. Since QKD protocols are regarded as ‘future-proof’ and PQC standards mature, their combined use will be essential for robust, quantum-safe IoT security. Miniaturizing quantum components such as integrated QKD/QRNG modules and optimizing lightweight PQC schemes for low-power IoT devices are future research directions to secure IoT networks.