Year: 2024
Type: article
Abstract: The increasing deployment of intelligent cyber-physical systems (CPS), autonomous devices, and IoT infrastructures in Industry 4.0 has introduced complex and dynamic security challenges that static, identity-based mechanisms are no longer sufficient to address. Intelligent industrial environments demand security frameworks capable of fine-grained, context-aware, and adaptive access control that can operate at scale across heterogeneous networked systems. In response to this need, Attribute-Based Encryption (ABE) and Attribute-Based Authentication (ABA) have emerged as essential building blocks for intelligent security architectures, enabling policy-driven data protection and authentication that are inherently aligned with the dynamic, attribute-rich nature of Industry 4.0 systems. This paper presents a structured review of ABE and ABA schemes, analysing key variants including KP-ABE, CP-ABE, and Decentralised ABE with respect to security, computational efficiency, and suitability for AI-augmented access control in Industry 4.0. Real-world deployments and future research directions, including AI-driven dynamic policy adaptation and energy-efficient schemes for intelligent edge devices, are also examined. The findings advance the understanding of ABE and ABA as core intelligent security control components, supporting the design of robust and autonomously adaptive security systems for next-generation industrial environments.
Authors: Jibran Saleem, Umar Raza, William Holderbaum
Institution: Manchester Metropolitan University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4404630194