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 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 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 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 Industrial Internet of Things (IIoT) is the application of the Internet of Things (IoT) in the industrial field. IIoT allows users to remotely access industrial equipment and the data in it, which also brings certain challenges to the security of industrial data. Authentication and key agreement protocols are very effective security technologies in the matter of protecting industrial data. There is a large amount of research work on authentication protocols in IIoT, but most of the protocols have security weaknesses. Recently, Rafique et al. proposed a multi-factor protocol in IIoT that can accomplish authentication and session key establishment through a gateway. Rafique et al. claimed that their protocol is secure, unfortunately, we carefully analyze the protocol of Rafique et al. and find some security flaws, i.e., it is vulnerable to insider attack and known session-specific temporary information (KSSTI) attack, and unable to provide forward security. We explore the factors of insecurity and propose an enhanced multi-factor secure authentication and key agreement protocol in IIoT. The new protocol improves the security of the protocol while using only symmetric cryptography, hash function, and XOR operation. Formal security analysis and informal security discussions demonstrate that the new protocol is resistant to a variety of known attacks. After performance analysis, our protocol has lower computational cost, and increases no significant communication cost, while providing more secure and robust properties.
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.
ABSTRACT The rapid advancement of quantum computers poses a significant threat to classical cryptographic techniques used to distributed and multi‐server environments. This paper focuses on development of quantum‐resistant framework for authenticated multi‐server networking, designed to ensure confidentiality and integrity in the presence of quantum‐capable adversaries. We have developed a practical three‐party authentication and key agreement (AKA) protocol for multi‐server environments, leveraging the Ring Learning With Errors (RLWE) problem for robust post‐quantum security. After finding weaknesses in Pursharthi and Mishra's work, such as inadequate session key verification and insider attack vulnerabilities, we designed our protocol to address real‐world threats like stolen devices, rogue central authorities, and replay attacks. It features an efficient preparation phase, a secure registration process, and a reliable mutual authentication mechanism, guarding against quantum, side‐channel, and replay attacks. Our detailed security analysis and performance tests confirm its resilience and efficiency, making it a scalable solution for applications like healthcare and IoT (Internet of Things). This protocol provides a structured framework for achieving secure and quantum‐resistant communication.
Objective: To design a secure and efficient three-party post-quantum authenticated key agreement (AKE) protocol that ensures mutual authentication, user anonymity, and forward secrecy, while resisting both classical and quantum adversaries. Methods: The proposed protocol is constructed using the Ring Learning with Errors (Ring-LWE) assumption, which is widely regarded as quantum-resistant. The scheme enables two users to establish a shared session key through a trusted server over an insecure channel. Cryptographic hash functions, lattice-based operations, and masking techniques are employed to achieve authentication, anonymity, and key confidentiality. Formal correctness proofs, informal security analysis, and comparative performance evaluations are conducted to validate the protocol. Findings: The study describes qualitative benefits like "outperforms current protocols" but lacks specific metrics, such as exact computation costs (e.g., 4913 ns total execution) or communication rounds, and "reduces user-side cost to 2438 ns vs. 5395 ns in Islam et al.". Also, substantially more efficient than pairing- or chaotic-map-based protocols, which incur costs exceeding 12000 ns. Communication overhead is reduced by limiting the exchange to two RLWE-based messages and one server response, avoiding expensive bilinear pairing or biometric hash transmissions. These results demonstrate that the proposed scheme provides stronger security guarantees at a lower computational and communication cost, making it suitable for resource-constrained mobile and IoT environments. Novelty: Unlike existing approaches, the proposed protocol simultaneously guarantees user anonymity, forward secrecy, and quantum resistance in a three-party setting based on Ring-LWE. It overcomes known vulnerabilities in prior schemes and achieves improved efficiency without compromising security, making it a practical and robust solution for post-quantum secure communications. Keywords: Key Establishment, Authentication, Ring Learning with Errors, Anonymous Key Exchange, Post Quantum Forward Secrecy