Industrial IoT, Cyber Threats, and Standards Landscape: Evaluation and Roadmap

Abstract

Industrial IoT (IIoT) is a novel concept of a fully connected, transparent, automated, and intelligent factory setup improving manufacturing processes and efficiency. To achieve this, existing hierarchical models must transition to a fully connected vertical model. Since IIoT is a novel approach, the environment is susceptible to cyber threat vectors, standardization, and interoperability issues, bridging the gaps at the IT/OT ICS (industrial control systems) level. IIoT M2M communication relies on new communication models (5G, TSN ethernet, self-driving networks, etc.) and technologies which require challenging approaches to achieve the desired levels of data security. Currently there are no methods to assess the vulnerabilities/risk impact which may be exploited by malicious actors through system gaps left due to improper implementation of security standards. The authors are currently working on an Industry 4.0 cybersecurity project and the insights provided in this paper are derived from the project. This research enables an understanding of converged/hybrid cybersecurity standards, reviews the best practices, and provides a roadmap for identifying, aligning, mapping, converging, and implementing the right cybersecurity standards and strategies for securing M2M communications in the IIoT.

State-of-the-Art Sensors Research in Ireland

“…Dhirani et al [22] discuss various cyberthreats and risks which the Industrial IoT (IIoT/I4.0) is exposed to, regardless of implementing cybersecurity standards and security protocols. IIoT/I4.0 is a fully connected autonomous factory which requires interoperable and universal standards, bringing convergence and mitigating the security gaps that exist between the standards and controls.…”

Asset Management Method of Industrial IoT Systems for Cyber-Security Countermeasures

“…This paper is organized as follows: Section 2 discusses related research about the cyber security [7][8][9][10], automation [11][12][13], and asset management [14][15][16][17] for IIoT and OT systems. Section 3 proposes the modeling method and data structure for IIoT systems, and Section 4 designs the asset configuration management method.…”

“…We investigate the existing studies related to cyber security issues in IIoT and OT systems. The studies are categorized by advanced security taxonomy for machine-tomachine communications [7], cyber threats and standards landscape for IIoT [8], trust management, privacy, authentication, threats and access control [9], and secure locationbased authentication scheme in fog computing environments [10]. In addition, we refer to studies related to automation in IIoT and OT systems below.…”

A Digital Twin Approach for the Improvement of an Autonomous Mobile Robots (AMR’s) Operating Environment—A Case Study

“…The first three industrial revolutions were brought about by mechanization, electrification, and the use of information systems [ 6 ]. Currently, the introduction of technologies and solutions associated with the Internet of Things (IoT), Cloud Computing, and Cyber-Physical Systems drives the Fourth Industrial Revolution [ 7 ]. These technologies have particular applications in the digitization of manufacturing and logistics processes and current mapping, diagnosis, and analysis of those processes [ 8 ].…”