Industrial Internet of Things Ecosystems Security and Digital Forensics: Achievements, Open Challenges, and Future Directions

Author:

Kebande Victor R.1ORCID,Awad Ali Ismail2ORCID

Affiliation:

1. Secure Distributed Systems (SDS) Group, Department of Computer Science (DIDA), Blekinge Institute of Technology, Karlskrona, Sweden

2. College of Information Technology, United Arab Emirates University, United Arab Emirates and Faculty of Engineering, Al-Azhar University, Egypt

Abstract

The Industrial Internet of Things (IIoT) has been positioned as a key pillar of the Industry 4.0 revolution, which is projected to continue accelerating and realizing digital transformations. The IIoT is becoming indispensable, providing the means through which modern communication is conducted across industries and offering improved efficiency, scalability, and robustness. However, the structural and dynamic complexity introduced by the continuous integration of the IIoT has widened the scope for cyber-threats, as the processes and data generated by this integration are susceptible and vulnerable to attacks. This article presents an in-depth analysis of the state-of-the-art in the IIoT ecosystem from security and digital forensics perspectives. The dimensions of this study are twofold: first, we present an overview of the cutting-edge security of IIoT ecosystems, and second, we survey the literature on digital forensics. The key achievements, open challenges, and future directions are identified in each case. The challenges and directions for future studies that we identify will provide important guidance for cybersecurity researchers and practitioners.

Funder

United Arab Emirates University and Zayed University (UAEU-ZU), United Arab Emirates

Blekinge Institute of Technology (BTH), Sweden

Swedish Knowledge Foundation through the Project Symphony-Supply-and-Demand-Based Service Exposure Using Robust Distributed Concepts

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science,Theoretical Computer Science

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