A roadmap from classical cryptography to post-quantum resistant cryptography for 5G-enabled IoT: Challenges, opportunities and solutions

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.

The rapid expansion of the Internet of Things (IoT) has introduced unprecedented cybersecurity challenges, as traditional cryptographic methods struggle to provide both efficiency and quantum resistance in resource-constrained environments. This research introduces Adaptive Quantum Cryptography (AQC), a novel security framework that integrates Quantum Key Distribution (QKD), Post-Quantum Cryptography (PQC), Quantum Random Number Generators (QRNGs), and AI-driven dynamic adaptation to safeguard IoT networks against evolving cyber threats. Unlike classical encryption techniques such as RSA and ECC, which are vulnerable to quantum attacks, AQC leverages quantum mechanical principles—such as superposition, entanglement, and the no-cloning theorem—to ensure provably secure key exchange and data encryption. The proposed AQC system dynamically adjusts cryptographic protocols based on real-time network conditions, computational resources, and threat intelligence, optimizing security without imposing excessive overhead. Experimental evaluations demonstrate that AQC achieves a 70% improvement in key exchange efficiency, a 50% reduction in computational load, and a 95% resilience rate against quantum attacks compared to conventional encryption methods. Additionally, the integration of QRNGs enhances cryptographic key entropy, while AI-driven anomaly detection enables proactive threat mitigation. This framework is particularly suited for next-generation IoT applications, including smart grids, autonomous vehicles, and industrial automation, where security, scalability, and energy efficiency are critical. By combining quantum-resistant algorithms with adaptive security mechanisms, AQC provides forward secrecy, resistance to quantum adversaries, and robust authentication, ensuring long-term protection for IoT ecosystems in the post-quantum era. The findings underscore AQC’s potential as a foundational security architecture for future quantum-safe IoT networks.

ABSTARCT The rapid proliferation of smart home Internet of Things (IoT) technologies has transformed residential environments through intelligent automation, remote monitoring, and data driven decision making. Alongside these benefits, security risks have intensified due to advances in large scale quantum computing, which threaten the cryptographic foundations of current IoT systems. Widely deployed public key algorithms such as RSA and Elliptic Curve Cryptography are vulnerable to quantum attacks enabled by Shor’s algorithm, raising serious concerns regarding long term confidentiality, authentication, and trust in smart home ecosystems. To address this challenge, two major quantum resilient security paradigms have emerged: Post Quantum Cryptography (PQC) and Quantum Key Distribution (QKD). This paper presents a structured comparative study of PQC and QKD within smart home IoT environments, evaluating architectural compatibility, computational and energy constraints, scalability, deployment cost, communication models, and security guarantees. Realistic smart home scenarios including smart locks, surveillance cameras, and resource constrained sensor networks are examined to assess practical feasibility. The analysis demonstrates that while QKD offers information theoretic security under ideal conditions, its reliance on specialized quantum hardware and dedicated infrastructure makes it unsuitable for consumer smart homes. In contrast, PQC provides a scalable, software based, and cost effective approach that integrates seamlessly. Keywords: Post-Quantum Cryptography, Quantum Key Distribution, Smart Home IoT, Quantum Security, IoT Cryptography.

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 of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$15-25 ~\text{ms}$</tex> per 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.

Cryptographic algorithms are crucial for secure communication in the Internet of Things (IoT). Quantum computers threaten public key cryptography algorithms like RSA (Rivest, Shamir, Adleman) and Diffie-Hellman (DH) key exchange schemes, which are widely in use today. As cryptographic algorithms are the foundation of secure internet communication, the development of Quantum Key Distribution (QKD) and Post-Quantum Cryptography (PQC) is essential to protect transactions over the internet. However, solutions like Quantum Key Distribution require heavy infrastructure. So, it is not feasible for the Internet of Things with fewer resources in computing power and form factor. Post-Quantum Cryptography is helpful on these devices. But, it needs further developments and improvements. This paper analyzes cryptography algorithms and protocols of IoT with different categories. Integrated PQC of National Institute of Standards and Technology (NIST) third level finalists on Raspberry Pi 4 (RPI4) board with Linux operating system. The performance of Post-Quantum Cryptography schemes for IoT has been evaluated. Finally, a Post-Quantum Cryptography scheme has been suggested for the Internet of Things based on the performance analysis.

Due to the growing interconnection and sensitive nature of IoT applications, this article provides a comprehensive overview of cybersecurity in 5G-enabled Internet of Things (IoT) networks. The review highlights the significant potential of 5G technology while also emphasizing the need for ongoing work to mitigate its weaknesses and fully harness its advantages. In this context, prospective research avenues are crucial to enhance the resilience and security of 5G-enabled systems. The future directions outlined in this document are diverse and seek to tackle significant deficiencies in 5G-IoT cybersecurity research. A primary objective is to align theoretical analyses with practical implementations by examining specific assaults in IoT contexts, thus improving the comprehension of real-world vulnerabilities. Furthermore, as the 5G standard progresses through its implementation, continuous research must remain synchronized with improvements, focusing on components and features that are currently in development. Formulating effective protection and mitigation strategies to address sophisticated threats is essential for safeguarding this integrated environment. Furthermore, enhancing standards and regulatory frameworks is essential to ensure uniform security procedures across various businesses and areas, especially considering the global nature of 5G-IoT applications. Ultimately, investigating sophisticated attack scenarios that leverage the interaction between IoT devices and 5G infrastructure would enhance understanding of vulnerabilities and aid in the development of more resilient security measures. These directives underscore the necessity for ongoing, flexible research to guarantee the robustness and safety of 5G-enabled IoT networks.

The Internet of Things (IoT) situation has changed drastically as a result of the deployment of 5G technology, that provides improved connectivity, scalability, and network slicing for service differentiation. The security implications of network slicing in 5G-enabled IoT systems are examined in this study, with a focus on the necessity of strong isolation measures. The contribution of important technologies like Network Function Virtualization (NFV) and Software-Defined Networking (SDN) to safe slice operation is assessed. The limitations of current methods are also addressed by a Dynamic Secure Isolation Framework (DSIF), which combines dynamic resource allocation, AI-driven threat detection, and Zero Trust Architecture to improve isolation and reduce vulnerabilities. The investigation suggests new technologies like blockchain and quantum cryptography as viable solutions for the primary issues with secure slicing, including as cost, latency, and lifecycle complexity. The suggested framework lays the groundwork for upcoming IoT advancements by guaranteeing safe, scalable, and resilient slice operations. Proactive security measures should be prioritized, standardized standards should be developed together, and more research into economic isolation methods should be conducted. The security and dependability of 5G network slicing in IoT are improved by this study's findings.

As more and more applications are deployed using the Internet of Things (IoT) technologies, the fragmentation of general purpose IoT technologies to target particular sectors with different requirements is becoming necessary. In this paper, we summarize the latest developments of application-specific IoTs (ASIoTs) (a term to conceptualize the development of IoTs targeted toward specific domains, communications mediums, and industry sectors) in eight representative studies (Internet of Battlefield Things (IoBT), Internet of Medical Things (IoMT), Internet of Animal Things (IoAT), Internet of Waste Things (IoWT), Internet of Underwater Things (IoUWT), Internet of Underground Things (IoUGT), Internet of Nano Things (IoNT), and Internet of Mobile Things (IoMobT) such as the Internet of Vehicles). The paper gives contributions to ASIoTs from three perspectives: First, we offer a basic classification taxonomy for ASIoTs and discuss various representative studies and applications which can be found in the literature; Second, we discuss a use case for a biometrics-based ASIoT (termed IoBioT) for illustration and experiments of face-based biometric recognition on IoBioT are also performed; and Third, we give discussions and future directions for ASIoTs. An objective of this paper is to spur researchers and facilitate the development of ASIoTs for the different user-defined domains, communication mediums, and technology constrained platforms.

Quantum computing has the capability of parallel computing and is superior to classical computing in solving some specific problems. Once a large-scale quantum computer is developed, the security of classical cryptographic algorithms and protocols, which is based on the assumption of computational complexity, will be severely challenged. Quantum cryptography is a new cryptosystem; its security is based on the principles of quantum mechanics, and can resist the attack of quantum computing. This paper focuses on the nearly 40 years development of quantum cryptographic protocols, including quantum key distribution (QKD), quantum secure direct communication, quantum secret sharing, quantum identity authentication, two-party secure computation, and quantum private query, and summarizes the problems in the process of development. The analysis shows that the quantum cryptographic protocols are in an unbalanced state: QKD is far ahead of other protocols and other protocols are difficult to achieve breakthroughs. In the future, practical quantum protocols for digital signature and two-party secure computation are core issues that needs to be addressed urgently. Therefore, research on quantum and post-quantum cryptography should be conducted synchronously, cross-over study and talent cultivation for the quantum science and cryptography disciplines should be strengthened, and the examination and evaluation mechanism of relevant basic research needs to be optimized.

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.

The rapid advancement of digital technologies, particularly the Internet of Things (IoT) and quantum computing (QC), is reshaping modern military operations by enhancing real-time data collection, autonomous decision-making, and situational awareness. IoT-enabled systems, such as UAVs, battlefield sensors, and smart logistics, provide military forces with operational superiority but also introduce significant cybersecurity risks, including espionage, cyber sabotage, and unauthorized access. The emergence of QC further complicates this landscape, as quantum algorithms can break traditional encryption protocols, threatening the security of military communications and IoT infrastructure. However, quantum technologies also offer revolutionary cybersecurity solutions, such as Quantum Key Distribution (QKD) and Post-Quantum Cryptography (PQC), which leverage the principles of quantum mechanics to ensure secure communication. Despite these advancements, challenges such as the technological maturity of quantum solutions, high implementation costs, and global competition in quantum research pose obstacles to widespread military adoption. This chapter explores the interplay between QC and military IoT security, addressing both the vulnerabilities of IoT systems and the potential of quantum-enhanced security frameworks. By integrating quantum-safe cryptographic techniques, defence organizations can fortify military IoT infrastructure, mitigate cyber threats, and maintain strategic superiority in an era of increasing digital warfare.

To significantly promote Internet of Things (IoT) development, 5G network is enabled for supporting IoT communications without the limitation of distance and location. This paper investigates the channel allocation problem for IoT uplink communications in the 5G network, with the aim of improving the quality of experience (QoE) of smart objects (SOs). To begin with, we define a mean opinion score (MOS) function of transmission delay to measure QoE of each SO. For the sum-MOS maximization problem, we leverage a game-theoretic learning approach to solve it. Specifically, the original optimization problem is equivalently transformed into a tractable form. Then, we formulate the converted problem as a game-theoretical framework and define a potential function which has a near-optimum as the optimization objective. To optimize the potential function, a distributed channel allocation algorithm is proposed to converge to the best Nash equilibrium solution which is the global optimum of maximizing the potential function. Finally, numerical results verify the effectiveness of the proposed scheme.

With billions of resource-constrained devices exchanging sensitive data over heterogeneous networks, the fast-growing expansion of the Internet of Things (IoT) has heightened the concerns of security. In this regard, classical blockchain, despite its promise, has two main disadvantages: it cannot scale properly under massive IoT traffic and it can be vulnerable to quantum adversaries. This work attempts to fill these gaps through an analytical and empirical review of thirty recent models using blockchain, post-quantum cryptography, and quantum-native approaches. Conducted under the PRISMA guidelines, this review systematically examines how its models perform with respect to common security metrics: delay, complexity, throughput, security efficiency, and packet delivery ratio. The findings of the study suggest that regular adaptive blockchains with dynamic block size optimization and lightweight hashing consistently achieve high throughput (>900 Tx/sec) and packet delivery ratios (>95%) in IoT environments making them the most feasible solution in near term. In contrast, post-quantum models, using hybrid encryption and an optimized SIKE provide significantly enhanced resilience (security efficiency in the range of 92% to 96%) while introducing computational overhead unsuited for low-power devices. The frameworks of quantum blockchain, utilizing QKD-based authentication and heap-driven key distribution, provide unsurpassed security efficiency (>95%) but stay largely constrained experimentally at this stage. The synthesis from the empirical study suggests a multi-layered approach, consisting of immediate implementations of lightweight adaptive models, mid-term enhancements through post-quantum cryptography optimization, and a long-term aim of deployment of full quantum blockchain architecture. Such insights would prove pivotal in IoT sectors with real-time requirements like health, smart grids, and industrial automation, where balancing scalability, efficiency, and quantum resilience is of utmost importance. Hence, the work provides an avenue for foundational mapping of advancement in quantum-secure IoT ecosystems.

This work is an endeavor to give a thought regarding future degrees, potential conceivable outcomes, and issues concerning. The Internet of Things and how it may affect the life of the general public sooner rather than later in terms of developing smart urban regions in India particular and generally in the world. In simple terms, the Internet of Things (IoT) is a system of genuine or virtual articles or things implanted with hardware, sensors, programming projects, and scheduled availability that enables these items to gather and exchange information, thereby providing availability to anything and not just for anyone at anytime, anywhere. As a result of the success of India's 100 Smart Urban Communities initiative, IoT as an idea appears to be quite promising. In India, IoT has a bright future because the government is focusing on, supporting, and experimenting with efforts to improve the infrastructure, as well as organizations concocting innovative products, and businesses are aware of the benefits that the Internet of Things brings to the table. IoT advance could end up being noteworthy on an expansive scale, with further developed research and assets. On the off chance that such advance turns into a reality, the expectations of IoT utilize in India may work out as expected all things considered. The Internet of Things is likely to have a huge impact on our day-to-day lives in cities and will become an integral part of industries such as power, transportation, modern control, retail, utilities administration, medical services, water assets administration, and oil. It has the potential to significantly improve efficiency and our lives. Furthermore, its enormous market potential has piqued the interest of governments, telecom administrators, producers, and industrial clients. The Internet of Things, also known as M2M (which stands for Machines to Mobile, Machine to Machine, Machines to Man, or Man to Machines), cleverly connects people, gadgets, and frameworks. General terms IoT application used to Monitoring and detecting, Plants and Animals, Information providing and utility in the cities. In this chapter discussed various IoT application used to cities build as a smart city.

The integration of the Internet of Things (IoT) in retail management and supply chain operations has transformed business processes by enabling real-time data collection, automation, and data-driven decision-making. This study conducts a bibliometric analysis using Scopus-indexed literature and VOSviewer to map research contributions, key themes, and emerging trends at the intersection of IoT and retail management. The analysis identifies inventory management, supply chain transparency, automation, and AI-driven analytics as dominant research areas, with growing interest in blockchain-enhanced security, sustainability, and predictive analytics. Citation and co-authorship analyses highlight key influential studies and international collaboration networks, with India, China, and the United States emerging as major research hubs. Despite advancements, challenges remain in IoT security, interoperability, ethical considerations, and regulatory frameworks, necessitating further research on 5G-enabled IoT, edge computing, and resilient supply chains. This study provides a comprehensive overview of IoT-driven retail research, offering valuable insights for academics, industry professionals, and policymakers to drive innovation and efficiency in the digital retail landscape.