PRISM-IIoT: A holistic approach for privacy preservation in industrial IoT using advanced cryptography and blockchain-enabled auditability framework
Rakesh Kumar Mahendran, Arafat Khan, Fasee Ullah, Farman Ali, Ahmad Ali AlZubi · Alexandria Engineering Journal · 2025
Security in Industrial IoT (IIoT) is paramount, as the interconnected nature of devices, systems, and processes introduces significant vulnerabilities to cyber threats. The importance of secure IIoT lies in safeguarding sensitive data, ensuring operational continuity, and protecting critical infrastructure in sectors like manufacturing, healthcare, and energy. Existing works, while addressing aspects such as encryption, authentication, and intrusion detection, exhibit limitations including high computational overhead, centralized vulnerabilities, limited adaptability, and scalability challenges. To address these issues, we propose a comprehensive privacy-preservation model for Industrial IoT (IIoT) environments, named PRISM-IIoT (Privacy-preservation, Reliable Intrusion detection, Secure transmission, and auditable Mechanism for Industrial IoT). PRISM-IIoT ensures secure data transmission using a New Lightweight Cryptographic Algorithm (LiCrypyt) (designed for cloud applications, employing a 128-bit block cipher with efficient logical operations for enhanced encryption complexity. A novel authentication mechanism enables fine-grained access control and device verification. Real-time intrusion detection is achieved through Cascaded Deep Learning CasDL), offering high accuracy against evolving threats. Additionally, an incentive mechanism-based blockchain supports secure data usage, traceability, and regulatory compliance by maintaining an immutable ledger of access and usage activities. The model combines cryptography, authentication, threat detection, and blockchain-enabled auditability into a scalable and adaptable system with flexible key lengths and encryption rounds. By addressing existing limitations, PRISM-IIoT ensures confidentiality, integrity, and auditability, providing a holistic solution to IIoT privacy and security challenges while maintaining operational efficiency and scalability.