# Challenges and Opportunities in Securing the Industrial Internet of Things

arXiv: https://arxiv.org/abs/2111.11714 · HTML: https://mlsanity.com/paper/2111.11714/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 23 Nov 2021.

## Built on by (most cited first, 4 of 4)

- [Meta-Learning Guided Label Noise Distillation for Robust Signal Modulation Classification](https://mlsanity.com/paper/2408.05151/) (2024)
- [Searching Neural Architectures for Sensor Nodes on IoT Gateways](https://mlsanity.com/paper/2505.23939/) (2025)
- [Toward a Multi-Layer ML-Based Security Framework for Industrial IoT](https://mlsanity.com/paper/2603.24111/) (2026)
- [CITADEL: CSI-Based Jamming Detection and Open-Set Classification for IIoT Networks](https://mlsanity.com/paper/2606.22939/) (2026)

## Abstract (arXiv)

Given the tremendous success of the Internet of Things in interconnecting consumer devices, we observe a natural trend to likewise interconnect devices in industrial settings, referred to as Industrial Internet of Things or Industry 4.0. While this coupling of industrial components provides many benefits, it also introduces serious security challenges. Although sharing many similarities with the consumer Internet of Things, securing the Industrial Internet of Things introduces its own challenges but also opportunities, mainly resulting from a longer lifetime of components and a larger scale of networks. In this paper, we identify the unique security goals and challenges of the Industrial Internet of Things, which, unlike consumer deployments, mainly follow from safety and productivity requirements. To address these security goals and challenges, we provide a comprehensive survey of research efforts to secure the Industrial Internet of Things, discuss their applicability, and analyze their security benefits.