A Zero-Trust Network-Based Access Control Scheme for Sustainable and Resilient Industry 5.0

Abstract

This new era of the industry is characterized by the integration of artificial intelligence and the Internet of Things (IoT) to optimize production processes and reduce waste while also promoting humancentric approaches to work. To ensure sustainability and continuous industrial performance, Industry 5.0 integrates automated technology, robots, humans, and others. This modern paradigm relies on data and highlevel security to achieve sustainability and error-free production operations. For improving the resilience of Industry 5.0 through adversary mitigation, this manuscript introduces a Zero-Trust Network-based Access Control Scheme (ZTN-ACS). This scheme extends its remote and limitless support for managing, monitoring, and controlling devices and operation schedules. For its limiting network over the available controllers, deep learning aids access control. The industrial controller output over the defined access is verified for efficiency and consistency compared to the expected and previous production outputs. In the verification scheme, access interrupts the controllers, and the schedules are initiated using the learning paradigm. This learning process considers the achievable production outcome and the low or high variations in the current access-based output. Therefore, the access control and security features are extended or limited depending on the learning output over the adversaries. This scheme leverages consistency and reduces controller denials, failures, and false positives in Industry 5.0.

Zero-Trust Marine Cyberdefense for IoT-Based Communications: An Explainable Approach

“…In addition, evaluating the confidence levels of the DoD's ML models, devices, users, and resources is routinely performed to ensure minimal security vulnerabilities. Recent advancements towards the Industry 5.0 paradigm now require zerotrust network-based access using AI for effective cybersecurity and real-time monitoring, controlling, and allocations of production sequences to prevent false rates and maximize productivity [28]. Current academic research has also investigated the employment of the ZTA for strong IoT security.…”

A New Trend in Cryptographic Information Security for Industry 5.0: A Systematic Review

“…Various cryptographic algorithms come naturally by means that are out of use in different domains, for example, the technique of secure electronic commerce, digital signature, and steganographic-based hiding information over insecure networks [48], [49]. In addition, it is evaluated that the RSA cryptographic algorithms are one of the most successfully designed, which solves integer factorization and manufactories' privacy protection and security.…”