Abstract
In the Industrial Internet of Things (IIoT), diversity exists in the operational and digital devices that work in tandem to deliver industry services. These systems, while ushering in efficiency, also introduce vulnerabilities that render them susceptible to cyberattacks. Consumer IoT breaches may bring to bear limited repercussions, however, the consequences of attacks on IIoT systems can be severe due to the critical nature of generated IIoT data. Ensuring the integrity of industrial systems requires the ongoing logging and analysis of post-incident data. This investigation focuses on digital forensic readiness (DFR) for the IIoT environment. It entails the identification of challenges, development of a meticulously tailored DFR framework for IIoT networks and its alignment with an attack model, and the formulation of a comprehensive data artifact template. These collective contributions will foster stronger IIoT cybersecurity, with the ultimate goal to effectively investigate IIoT attacks.
| Original language | English |
|---|---|
| Pages (from-to) | 29-37 |
| Number of pages | 9 |
| Journal | IT Professional |
| Volume | 27 |
| Issue number | 3 |
| DOIs | |
| State | Published - 2025 |
Bibliographical note
Publisher Copyright:© 1999-2012 IEEE.
Funding
We thank the anonymous reviewers for their valuable comments which helped us improve the organization, clarity, content, and presentation of this article. Sherali Zeadally was partially supported by a distinguished visiting professorship from the University of Johannesburg, South Africa.
| Funders | Funder number |
|---|---|
| University of Johannesburg |
ASJC Scopus subject areas
- Software
- Hardware and Architecture
- Computer Science Applications