A Survey on Industrial Internet of Things Security: Requirements, Attacks, AI-based Solutions, and Edge Computing Opportunities
Open accessAbstract
The Industrial Internet of Things (IIoT) paradigm is a key research area derived from the Internet of Things (IoT). The emergence of IIoT has enabled a revolution in manufacturing and production, through the employment of various embedded sensing devices connected with each other by an IoT network, along with a collection of enabling technologies such as artificial intelligence (AI) and edge/fog computing. One of the unrivaled characteristics of IIoT is the inter-connectivity provided to industries; however, this characteristic might open the door for cyber-criminals to launch various attacks. In fact, one of the major challenges hindering the prevalent adoption of the IIoT paradigm is IoT security. Inevitably, an increasing number of research proposals have been introduced over the last decade to overcome these security concerns. To obtain an overview of this research area, conducting a literature survey of the published research is necessary, eliciting the various security requirements and their considerations. This paper provides a literature survey of IIoT security, focused on the period from 2017 to 2023. We identify IIoT security threats and classify them into three categories, based on the IIoT layer they exploit to launch these attacks. Additionally, we characterize the security requirements that these attacks violate. Finally, we highlight how emerging technologies, such as AI and edge/fog computing, can be adopted to address security concerns and enhance IIoT security.
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There is a certain overlap between IT, the IoT, and OT, and this overlap can be referred to as the IIoT.
“All in all, this means that there is a certain overlap between IT, the IoT, and OT, and this overlap can be referred to as the IIoT [11].”
From Mapping of Industrial IoT to IEC 62443 Standards (2025) · cites this paper as [11]
Section 3.1 (page unavailable) says that the industrial internet and IoT intersect to form IIoT. It does not identify that intersection as an overlap among IT, IoT, and OT, so the three-way formulation is not fully supported. (LLM, conf=0.82)
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- Authors
- Alotaibi, B.
- Affiliations
- University of Tabuk (SA)
- Corresponding author
- Alotaibi, Bandar
- ORCID
- Alotaibi, Bandar
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2023-07-12
- Volume
- 23
- Issue
- 17
- Pages
- 7470-7470
- ISSN
- 1424-8220 (ISSN-L)
- PMC
- PMC10490764
- OpenAlex
- W4386220180
- Cited by
- 128
- References
- 260
- Citations by year
- 2026: 54 · 2025: 46 · 2024: 25 · 2023: 3
- FWCI
- 4.49
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Sensors (publishedVersion, cc-by)
- Preprints.org (acceptedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Computer Science › Computer Networks and Communications › Network Security and Intrusion Detection
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Keywords
- Industrial Internet of Things, IIoT security, security requirements, cyberattacks, attack classification, security threats, artificial intelligence for security, edge computing, fog computing, manufacturing cybersecurity
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