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Toward Ever-Evolution Network Threats: A Hierarchical Federated Class-Incremental Learning Approach for Network Intrusion Detection in IIoT

IEEE Internet of Things Journal
The rise of collaborative manufacturing, driven by the rapid proliferation of Industrial Internet of Things (IIoT) technologies, has markedly enhanced agility and productivity in industrial environments.
Jingxin Mao   +4 more
semanticscholar   +1 more source

A Multi-Agent DRL-Based Computation Offloading and Resource Allocation Method With Attention Mechanism in MEC-Enabled IIoT

IEEE Transactions on Services Computing
The widespread adoption of Industrial Internet of Things (IIoT) has significantly transformed various aspects of industrial manufacturing. However, the massive volume and complexity of IIoT data highlight the need for innovative solutions to enhance the ...
Chengfang Ling   +4 more
semanticscholar   +1 more source

Convergence of IIot and Cloud

This chapter explores the transformative convergence of the Industrial Internet of Things (IIoT) and cloud computing, emphasizing their combined potential to enhance operational efficiency, predictive analytics, and industrial automation. It outlines how real-time data processing, AI integration, and scalable infrastructure revolutionize sectors like ...
Ashutosh Bhardwaj   +3 more
openaire   +1 more source

Virtual Network Embedding for Task Offloading in IIoT: A DRL-Assisted Federated Learning Scheme

IEEE Transactions on Industrial Informatics
The Industrial Internet of Things (IIoT) promotes the deep integration of new-generation communication technologies and industrial ecology. However, the popularity of computing and the proliferation of equipment scale make it a meaningful challenge to ...
Sheng Wu   +5 more
semanticscholar   +1 more source

Resources-Efficient Adaptive Federated Learning for Digital Twin-Enabled IIoT

IEEE Transactions on Network Science and Engineering
Digital twin (DT) can bridge the physical status with the virtual space in real-time for the Industrial Internet of Things (IIoT), where the integration of federated learning (FL) with DT can enable many edge intelligence services for timely intelligent ...
Dewen Qiao   +4 more
semanticscholar   +1 more source

IIoT Gateway for Edge Computing Applications

2019
With the emergence of IoT applications Cloud architecture proves to be inefficient in handling massive amounts of data, mainly because of the variable latency and limited bandwidth. More specific, major requirements of Industrial Internet of Things (IIoT) like control and real-time decision making could not be addressed.
Mihai Craciunescu   +4 more
openaire   +1 more source

A Survey on Industrial Internet of Things (IIoT) Testbeds for Connectivity Research

arXiv.org
Industrial Internet of Things (IIoT) technologies have revolutionized industrial processes, enabling smart automation, real-time data analytics, and improved operational efficiency across diverse industry sectors.
Tianyu Zhang   +5 more
semanticscholar   +1 more source

IIoT Reference Architecture

2016
The Industrial Internet is reliant on the structure of M2M technology. Sometimes, it is older established technologies and practices that have been around for decades, that can spark innovation, and as a result, IIoT’s architecture is often seen as a natural evolution of M2M.
openaire   +1 more source

IIoT and cyber-resilience.

AI Soc., 2021
Sebastian Gajek   +2 more
openaire   +2 more sources

PiLike: Post-Quantum Identity-Based Lightweight Authenticated Key Exchange Protocol for IIoT Environments

IEEE Systems Journal
As an imperative division of the Internet of Things (IoT), Industrial IoT (IIoT) has also attracted full attention. IIoT networks are equipped with various authenticated key exchange techniques under the cumbersome Diffie–Hellman (DH) problems and ...
Daya Sagar Gupta
semanticscholar   +1 more source

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