ReviewSensors (Basel, Switzerland)2023
A Survey on Industrial Internet of Things Security: Requirements, Attacks, AI-Based Solutions, and Edge Computing Opportunities.
Review in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- DynamicFU: Contribution-Aware Dynamic Federated Unlearning for Industrial IoT.Sensors (Basel, Switzerland) · 2026Article
- An Operational Hybrid SIEM Framework for OT Anomaly Detection.Sensors (Basel, Switzerland) · 2026Article
- DeepSense: An Adaptive Scalable Ensemble Framework for Industrial IoT Anomaly Detection.Sensors (Basel, Switzerland) · 2026Article
- HADA: A Hybrid Authentication and Dynamic Attribute Access Control Mechanism for the Internet of Things Using Hyperledger Fabric Blockchain.Sensors (Basel, Switzerland) · 2026Article
- Radar-Based Gesture Recognition Using Adaptive Top-K Selection and Multi-Stream CNNs.Sensors (Basel, Switzerland) · 2025Article
- Machine Learning-Based Security Solutions for IoT Networks: A Comprehensive Survey.Sensors (Basel, Switzerland) · 2025Review
- An Edge-Computing-Based Integrated Framework for Network Traffic Analysis and Intrusion Detection to Enhance Cyber-Physical System Security in Industrial IoT.Sensors (Basel, Switzerland) · 2025Article
- Mapping of Industrial IoT to IEC 62443 Standards.Sensors (Basel, Switzerland) · 2025Review
- Exploring the Role of Artificial Intelligence in Internet of Things Systems: A Systematic Mapping Study.Sensors (Basel, Switzerland) · 2024Review
- Dynamic Cooperative Communications with Mutual Information Accumulation for Mobile Robots in Industrial Internet of Things.Sensors (Basel, Switzerland) · 2024Article
- A Graph-Based Technique for Securing the Distributed Cyber-Physical System Infrastructure.Sensors (Basel, Switzerland) · 2023Article
Corrections and comments
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Authors and funding
1 author.
Funding
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Abstract
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 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, there has been an inevitable increase in research proposals 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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.