A Taxonomy of Security Issues in Industrial Internet-of-Things: Scoping Review for Existing Solutions, Future Implications, and Research Challenges
Open accessAbstract
Industrial Internet of Things (IIoTs) are the extensions of the Internet of Things (IoTs) and have paved the way towards the industry revolution 4.0. IIoT accelerates the industry automation of internal and external working process including transport, manufacturing, and marketing units with a number of connected devices. Being the extension of IoT, it inherits the insecurities of the technology; however, this sensor-configured infrastructure of IIoT needs some extra effort to customize the existing security solutions. In spite of the reconstructions of security models, the scope of improved developments is open to detect unknown attacks. The present study helps the researchers to understand the cause for intrusion by classifying and comparing various attacks of each IIoT layers. The main focus of this survey is to analyze various security issues faced by IIoT and provide a comparative analysis on the available solutions to enhance the industrial IoTs’ protection systems. This study also notifies some open research problems for academia, technologists, and researchers to flourish the IIoT domain and its security aspects.
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Increasing adoption of IIoT technologies escalates security and privacy concerns, leading to information leakage, sensitive data disclosure, and data theft.
“With the increasing adoption of IIoT technologies, security and privacy concerns escalate, leading to information leakage, sensitive data disclosure, and data theft [12], [13].”
From A Critical Overview of Industrial Internet of Things Security and Privacy Issues Using a Layer-Based Hacking Scenario (2023) · cites this paper as [12]
Jayalaxmi et al. [13] compared various attacks on each industrial Internet layer, analyzed privacy security issues faced by IIoT, compared existing solutions, and provided open research questions.
“Jayalaxmi et al. [13] compared various attacks on each industrial Internet layer to help researchers understand the causes of the intrusion, analyzed the various privacy security issues faced by IIoT, compared existing solutions to enhance IIoT protection systems, and provided some open research questions for the academic community.”
From A Survey of IoT Privacy Security: Architecture, Technology, Challenges, and Trends (2024) · cites this paper as [13]
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Sorted by citations
A Survey of IoT Privacy Security: Architecture, Technology, Challenges, and Trends
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“With the increasing adoption of IIoT technologies, security and privacy concerns escalate, leading to information leakage, sensitive data disclosure, and data theft [12], [13].”
Background
- Authors
- Jayalaxmi, P., Saha, R., Kumar, G., Kumar, N., & Kim, T.-H.
- Affiliations
- Lovely Professional University (IN)
- Thapar Institute of Engineering & Technology (IN)
- Konkuk University (KR)
- Venue
- IEEE Access
- Published
- 2021
- Volume
- 9
- Pages
- 25344-25359
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W3126669246
- Cited by
- 88
- References
- 75
- Citations by year
- 2026: 2 · 2025: 17 · 2024: 25 · 2023: 22 · 2022: 12 · 2021: 10
- FWCI
- 7.74
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- IEEE Access (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Network Security and Intrusion Detection
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Keywords
- Industrial Internet of Things, IIoT security, security threats, attack classification, attack taxonomy, security model, intrusion detection, Industry 4.0, security solutions, research challenges
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