The rapid advancements in quantum computation pose significant threats to traditional cryptographic systems, such as those used in the Internet of Things (IoT). RSA and methods like Elliptic Curve Cryptography (ECC) are particularly vulnerable to quantum algorithmic techniques, such as Shor’s and Grover’s algorithms. This paper focuses on the analysis of cryptographic models based on quantum technologies, with special emphasis on IoT security. It examines how both symmetric and public-key cryptography are affected by quantum comput-ing—highlighting vulnerabilities in symmetric schemes to Grover’s algorithm and in public-key systems like ECC to Shor’s algorithm. Significant focus is placed on the advancement of quantum-resistant ECC, with an in-depth evaluation of its effectiveness, security capabilities, and suitability for IoT applications. This work also compares various methods for implementing quantum-enhanced ECC, considering both software and hardware solutions. Furthermore, the paper explores emerging hybrid systems that integrate classical and quantum-resistant encryption to offer enhanced security in transitional scenarios. Lastly, it outlines potential research avenues for developing new techniques to protect future IoT networks from quantum-based attacks.
The rapid advancements in quantum computation pose significant threats to traditional cryptographic systems, such as those used in the Internet of Things (IoT). RSA and methods like Elliptic Curve Cryptography (ECC) are particularly vulnerable to quantum algorithmic techniques, such as Shor’s and Grover’s algorithms. This paper focuses on the analysis of cryptographic models based on quantum technologies, with special emphasis on IoT security. It examines how both symmetric and public-key cryptography are affected by quantum comput-ing—highlighting vulnerabilities in symmetric schemes to Grover’s algorithm and in public-key systems like ECC to Shor’s algorithm. Significant focus is placed on the advancement of quantum-resistant ECC, with an in-depth evaluation of its effectiveness, security capabilities, and suitability for IoT applications. This work also compares various methods for implementing quantum-enhanced ECC, considering both software and hardware solutions. Furthermore, the paper explores emerging hybrid systems that integrate classical and quantum-resistant encryption to offer enhanced security in transitional scenarios. Lastly, it outlines potential research avenues for developing new techniques to protect future IoT networks from quantum-based attacks.
The expansion of Internet of Things (IoT) ecosystems has created a high demand for secure cryptographic solutions, even in a future with quantum computing capabilities. Traditional mappings, such as RSA or Elliptic Curve Cryptography (ECC), are expected to be broken by Shor's algorithm, driving the realization of post-quantum cryptography (PQC). This work presents a simulative and prototypical framework for assessing PQC integration in IoT communication. With the liboqs library and NS-3 network simulator, along with the Python scripting language, we implement both NIST-standardized algorithms, such as Dilithium (for signatures) and Kyber (for key encapsulation), as well as the classical RSA and ECC baselines. IoT networks of 50-500 virtual nodes are simulated based on IEEE 802.15.4/6LoWPAN with RPL routing. Performance attributes, including encryption/decryption time, key length, packet delivery ratio, latency, and energy consumption, are collected and evaluated. Preliminary results indicate that PQC incurs additional handshake and key overhead, but is relatively practical, with an average overhead of15−25msper processed secure transaction. The effort provides a replicable testbed, showcasing what we consider the best and worst PQC has to offer for resource-constrained IoT. Targeted at master's students and researchers, this book provides an applied approach to investigate quantum-resilient security in IoT. It encourages future expansion to hardware-in-the-loop validation on embedded devices.
The rapid growth of the Internet of Things (IoT) has connected billions of smart devices across healthcare, transportation, industrial automation, and smart home environments. While IoT has enhanced automation and data-driven decision-making, its widespread deployment has also increased the risk of cyberattacks. Conventional public-key cryptographic algorithms such as RSA and Elliptic Curve Cryptography (ECC) are vulnerable to future quantum computing attacks, particularly those based on Shor's algorithm. This paper proposes a Quantum-Resistant Cryptographic Framework (QRCF) for secure IoT communication using lattice-based cryptography integrated with lightweight authentication and efficient key management. The framework is designed to meet the computational limitations of IoT devices while ensuring long-term confidentiality and integrity. Performance evaluation demonstrates improvements in security resilience, authentication efficiency, and communication reliability compared with traditional cryptographic approaches. The proposed framework offers a scalable and future-ready solution for protecting IoT ecosystems in the post-quantum era.
The rapid proliferation of Internet of Things (IoT) devices has introduced significant security challenges, particularly with the looming threat posed by quantum computing to classical cryptographic algorithms. This paper explores the integration of quantum-resistant cryptographic techniques to secure IoT ecosystems against future quantum attacks. We analyze the vulnerabilities inherent in traditional cryptographic approaches and discuss the implementation feasibility of post-quantum cryptography (PQC) in resource-constrained IoT devices. The study further highlights key PQC algorithms suitable for IoT and evaluates their performance impact. A comparative analysis graph of classical versus quantum-resistant algorithms in IoT environments is presented. This work aims to provide insights and recommendations for adopting quantum-resistant solutions to future-proof IoT security.
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.
In the current time, the classical cryptographic systems are used worldwide.Cryptography makes the transmission operation secure and it ensure the basic motivation of security such that availability, integrity, confidentially and non-repudiation.The development of quantum computing algorithm such that Shor's algorithm rise the threats towards the classical cryptographic infrastructure particularly in public key infrastructure i.e.RSA and ECC.Also, Grover's algorithm provides the square root time enhancement of searching of keys in the symmetric key cryptography.In this scenario, the fully operation quantum computer will break the classical cryptographic systems, and it is the main reason behind the advancement of post quantum cryptography (PQC).Specially, in the IoT network, the energy constrain end devices have the main issue to implement the strong cryptographic methods to secure the network from quantum attacks.The current available cryptographic methods which are quantum resistance in context of IoT network is thoroughly discussed in the paper.Also, key families of PQC algorithms i.e. lattice-based, code-based, multivariate polynomial based, hash-based, and isogeny-based and the NIST standardization of PQC techniques are investigated.This survey will be work as a bridge between deployment of PQC and existing methods of PQC in context of IoT environment.
The threats are existential to the traditional cryptosystems of public keys, including RSA, Diffie-Hellman, and elliptic curve cryptography (ECC), due to the rapid progress in quantum computing. Such algorithms as the Shor and Grover algorithms prove that as soon as large scale quantum computers are achieved, these classical cryptographic protocols will not provide any privacy and integrity to online communication. This has created an emergency to find post-quantum cryptography (PQC), or quantum-safe cryptography, which will resist attacks by both classical and quantum attackers. The paper is a review of the latest research and development in post-quantum cryptographic algorithms and their implementation in current security systems. We organize quantum-safe methods into significant organizations such as lattice-based, hash-based, multivariate polynomial-based and code-based encrypted communications. Each type has been evaluated critically based on computational efficiency, key sizes, speed of encryption/decryption and security proofs. The survey also examines the current standardization activities happening in the world and especially the U.S. National Institute of Standards and Technology (NIST) PQC competition, which lists candidate algorithms that have advanced to standard adoption. Besides this, the paper addresses hybrid cryptographic designs that use both classical and post-quantum bases in ensuring a seamless migration in the transition phase. Internet security protocols like TLS, VPNs and blockchain consensus as applications of PQC are examined in detail. Lastly, we pinpoint open research issues, which include creating lightweight PQC to support resource-constrained IoT devices, balancing performance and strong security assurances, and interoperability between the new PQC algorithms and existing infrastructures. Through detailed survey we inform the future of researchers, practitioners, and policymakers on the preparation of the post-quantum era of secure digital communications.