The Industrial Internet of Things (IIoT) enables smart manufacturing through advanced sensing, monitoring, and control capabilities. However, securing these resource-constrained IIoT devices poses critical challenges due to limited memory and energy resources, while the emergence of quantum computing threatens existing security mechanisms. This study addresses the urgent need for practical quantum-resistant security solutions for deployment in resource-limited industrial environments. It presents QLight-IIoT, a quantum-resistant authentication and key agreement (AKA) scheme established solely on hash-based hardness assumption, demonstrating that lightweight quantum-resistant authentication is achievable without relying on computationally intensive primitives like lattices or codes. The proposed scheme is deployed and tested over Raspberry Pi 4 to demonstrate its practicality in real-world IIoT environments. Experimental validation shows that the scheme ensures mutual authentication with session key establishment with an average key generation time of 0.3200 seconds. The security of the proposed QLight-IIoT scheme is systematically evaluated using the Real-or-Random (ROR) model, the Scyther tool, and the Automated Validation of Internet Security Protocols and Applications (AVISPA) framework. Performance evaluation reveals significant efficiency improvements, achieving 9.29–77.36% reduction in communication cost and 4.41–95.37% reduction in Computational overhead relative to existing schemes. The scheme requires minimal storage of 632 bits per IIoT device, resulting in up to 64.84% reduction in total system storage cost. Comparative security analysis further validates the scheme’s security against various attack vectors. This work provides a practical pathway for industrial organizations to prepare IIoT infrastructure for quantum-resistant security challenges while maintaining compatibility with current resource-constrained hardware.
The Industrial Internet of Things (IIoT) enables smart manufacturing through advanced sensing, monitoring, and control capabilities. However, securing these resource-constrained IIoT devices poses critical challenges due to limited memory and energy resources, while the emergence of quantum computing threatens existing security mechanisms. This study addresses the urgent need for practical quantum-resistant security solutions for deployment in resource-limited industrial environments. It presents QLight-IIoT, a quantum-resistant authentication and key agreement (AKA) scheme established solely on hash-based hardness assumption, demonstrating that lightweight quantum-resistant authentication is achievable without relying on computationally intensive primitives like lattices or codes. The proposed scheme is deployed and tested over Raspberry Pi 4 to demonstrate its practicality in real-world IIoT environments. Experimental validation shows that the scheme ensures mutual authentication with session key establishment with an average key generation time of 0.3200 seconds. The security of the proposed QLight-IIoT scheme is systematically evaluated using the Real-or-Random (ROR) model, the Scyther tool, and the Automated Validation of Internet Security Protocols and Applications (AVISPA) framework. Performance evaluation reveals significant efficiency improvements, achieving 9.29–77.36% reduction in communication cost and 4.41–95.37% reduction in Computational overhead relative to existing schemes. The scheme requires minimal storage of 632 bits per IIoT device, resulting in up to 64.84% reduction in total system storage cost. Comparative security analysis further validates the scheme’s security against various attack vectors. This work provides a practical pathway for industrial organizations to prepare IIoT infrastructure for quantum-resistant security challenges while maintaining compatibility with current resource-constrained hardware.
The Industrial Internet of Things (IIoT) integrates control systems with IoT technology to enable automation and intelligent operations in industrial environments. As IIoT deployments expand, reliance on wireless communication channels increases the attack surface and exposes systems to various security and privacy threats. Moreover, the limited computational capabilities of IIoT devices and the need to preserve device anonymity introduce additional security requirements. Insufficient protection against these challenges can result in operational disruption and significant economic losses. Existing symmetric-key and hash-based schemes are lightweight but lack scalability for large IIoT deployments, whereas public-key methods provide stronger security. However, the emergence of quantum computing threatens the long-term security of such protocols, as quantum algorithms can efficiently break conventional number-theoretic cryptosystems. To address these challenges, we propose a quantum-resistant three-party authentication and key agreement (AKA) protocol for the IIoT. The ring learning with errors (RLWE)-based protocol provides quantum-safe and efficient mutual authentication and secure session key establishment between workers and devices. Comprehensive security and performance analyses demonstrate that the proposed protocol is robust against security attacks. Performance evaluations confirm lower computational and communication overhead than existing post-quantum schemes, proving its practicality for IIoT.
The ever-evolving Internet of Things (IoT) has ushered in a new era of intelligent manufacturing across multiple industries. However, the security and privacy of real-time data transmitted over the public channel of the Industrial IoT (IIoT) remain formidable challenges. Existing lightweight protocols often omit one or more critical security features, such as anonymity and untraceability, and are susceptible to threats like desynchronization attacks. Additionally, they struggle to achieve an optimal balance between robust security and performance efficiency. To bridge these gaps, we introduce a new lightweight key agreement security scheme that guarantees secure access to the IIoT-enabled flexible manufacturing system (FMS). The strength of our scheme lies in its utilization of the authenticated encryption with associative data (AEAD) primitive, AEGIS, along with hash functions and physical unclonable functions, which secure the IIoT ecosystem. Additionally, our scheme offers flexibility in the form of the addition of new machines, password updates, and revocation in cases of theft or loss. A comprehensive security analysis demonstrates the efficacy of the proposed scheme in thwarting various attacks. The formal analysis, based on the Real-or-Random (RoR) model, ensures session key indistinguishability, while the informal analysis highlights its resilience against known attacks. The comparative assessment demonstrates that the proposed scheme consistently outperforms the benchmark schemes across multiple dimensions, including security and functionality features, computational and communication overheads, and runtime efficiency. Specifically, the proposed scheme achieves peak performance enhancements of 77.55%, 44.73%, and 69.6% in computational overhead, runtime overhead, and communication overhead, respectively, underscoring its substantial performance advantages.
The rapid expansion of the Industrial Internet of Things (IIoT) presents pressing challenges for secure, efficient, and privacy‐preserving communication among users, sensors, and cloud infrastructures. Existing lightweight authentication schemes, primarily based on classical cryptographic assumptions, are increasingly vulnerable to the emerging threat of quantum computing. To address these challenges, we propose a lightweight, quantum‐resilient, and privacy‐preserving mutual authentication scheme tailored to the IIoT ecosystem. The proposed scheme integrates the learning with errors (LWE) assumption to achieve postquantum secure authentication and identity protection, hash functions for message integrity, and ephemeral elliptic curve Diffie–Hellman (ECDH) to provide classical forward secrecy within a hybrid security model. A novel use of ephemeral pseudonyms further enhances unlinkability and resilience against traceability attacks. The security of the scheme is established through informal analysis, covering resistance to forgery, impersonation, replay, man‐in‐the‐middle, and key compromise impersonation attacks, and through formal analysis in both the random oracle model (ROM) and BAN logic, proving mutual authentication and secrecy properties. Performance evaluation demonstrates that the scheme achieves low computational cost for resource‐constrained sensors (≈ 4 ms) and practical communication overhead while maintaining comprehensive security features superior to existing solutions. These results highlight that the proposed scheme provides a robust, efficient, and deployable framework for postquantum secure authentication in IIoT ecosystems.
The rapid expansion of Internet of Things (IoT) ecosystems has introduced significant security challenges due to resource-constrained devices, heterogeneous network architectures, and largescale connectivity. Traditional authentication and key exchange mechanisms, primarily based on classical cryptographic algorithms such as RSA and ECC, are vulnerable to future quantum computing attacks. The emergence of quantum algorithms, particularly Shor’s algorithm, threatens the long-term confidentiality and integrity of IoT communications. This paper proposes a Quantum-Resistant Authentication and Key Exchange Protocol specifically designed for secure IoT architectures. The proposed framework integrates post-quantum cryptographic primitives, including lattice-based key exchange mechanisms and hash-based authentication schemes, optimized for low computational overhead suitable for constrained IoT devices. The protocol ensures mutual authentication, forward secrecy, and resistance against quantum adversaries while maintaining minimal communication latency. Security analysis demonstrates robustness against replay, man-in-the-middle, and key-compromise attacks. Performance evaluation shows that the proposed solution achieves a balance between quantum security strength and resource efficiency, making it suitable for next-generation IoT deployments in smart cities, healthcare systems, and industrial automation.
The rapid proliferation of the Internet of Things (IoT) has connected billions of devices that continuously exchange sensitive data over public wireless channels, making secure authentication a critical requirement. However, most IoT end devices are severely resource-constrained, which renders conventional public-key infrastructures based on RSA, bilinear pairings, or digital certificates impractical. Although many authentication and key agreement schemes have been proposed, recent cryptanalytic studies show that they often either omit essential security properties such as perfect forward secrecy or resistance to ephemeral secret leakage or incur overhead that is unacceptable for low-power nodes. To address this gap, this paper proposes a lightweight Elliptic Curve Cryptography (ECC)-based authentication and key agreement protocol for a three-tier IoT architecture consisting of a user, a semi-trusted gateway server, and an IoT sensor. The protocol relies solely on elliptic-curve scalar multiplication, one-way hash functions, and bitwise XOR operations, avoiding bilinear pairings and certificate management. It achieves mutual authentication among all three parties through timestamped, hash-based authenticators and establishes a contributory session-key derived from fresh ephemeral keys, ensuring perfect forward secrecy. The security of the protocol is established through a detailed informal analysis, demonstrating resistance to major attacks, and is formally verified using the AVISPA tool, where both the OFMC and CL-AtSe back-ends report the protocol as SAFE under the Dolev–Yao adversary model. A comparative performance evaluation against several recent ECC-based authentication schemes shows that the proposed protocol maintains low cost requirements suitable for constrained IoT devices, and resulting in a communication overhead of 1828 bits, which is competitive with most recent ECC-based schemes evaluated, and imposing a minimal storage burden on end devices. The results demonstrate that the proposed protocol achieves a favorable balance between security and efficiency, making it well suited to resource-constrained IoT environments.
Post-quantum cryptography (PQC) is fast becoming a necessity for the Industrial Internet of Things (IIoT), where security requirements must align with strict latency and resource constraints. Traditional security protocols relying on static identities, centralized revocation, and bulky ciphertexts are ill-suited for dynamic and distributed IIoT systems. This paper introduces a quantum-resilient identity and key management architecture optimized for constrained industrial environments. We propose a lightweight entropy-seeded identity model that leverages biometric, device, and environmental randomness to generate spoof-resistant identities. A compressed key encapsulation delivery protocol based on CRYSTALS Kyber512 is developed using delta encoding, fragmentation, and ZLIB compression to minimize ciphertext overhead. Although a hybrid blockchain integration is conceptually discussed to outline revocation and trust enforcement, our implementation on constrained IIoT devices demonstrates over 48% ciphertext size reduction, 30% latency improvement compared to baseline Kyber, and real-time trust scoring based on behavioral analysis, showing strong potential for scalable, bandwidth-aware, and future-proof security deployment in post-quantum IIoT ecosystems.