Results 161 to 170 of about 14,747 (224)

SecuFL-IoT: an adaptive privacy-preserving federated learning framework for anomaly detection in smart industrial networks. [PDF]

Sci Rep
Alqazzaz A.
europepmc   +1 more source

A Low-Code Containerized Edge Architecture for IIoT Telemetry Orchestration: Mitigating Cloud API Rate Limits Through Dual-Path Routing. [PDF]

Sensors (Basel)
Rosa-Bilbao J.
europepmc   +1 more source

Digital twin based sorting optimization for parcel distribution centers in logistics networks. [PDF]

Nat Commun
Li R, Zhang W, Tian Y, Liu R, Huang B, Liao L, Song X, Qin X, Zhang H, Cui S, Huang C.   +10 more
europepmc   +1 more source

Evaluation of Explainable Artificial Intelligence in IoT Intrusion Detection Systems Under DeepFool Adversarial Conditions. [PDF]

Sensors (Basel)
Munilla J, Khammas RM.
europepmc   +1 more source

Adaptive machine learning models for predictive maintenance in industrial internet of things (IIoT) systems. [PDF]

Sci Rep
Subashree S, Rajakumaran M, Pushpa G, Manivannan R.   +3 more
europepmc   +1 more source

Asset-Aware and Resilient Trust Management Framework for Industrial IoT Edge Networks. [PDF]

Sensors (Basel)
Wang Y, Gu H, Ye Q.
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

IIoT-ARAS

Proceedings of the Eleventh ACM Conference on Data and Application Security and Privacy, 2021
As IT/OT convergence continues to evolve, the traditionally isolated ICS/OT systems are increasingly exposed to a myriad of online and offline threats. Although IIoT enhances the reachability in ICS, improved data analytics, ensuring ease of access and decision making, it unwittingly opens the ICS environment to attackers. The design of IIoT introduces
Bassam Zahran, Adamu Hussaini, Aisha I. Ali-Gombe   +2 more
openaire   +1 more source

Blockchain meets IIoT: An architecture for privacy preservation and security in IIoT

2020 International Conference on Computer Science, Engineering and Applications (ICCSEA), 2020
Industry 4.0 articulates that modern intelligent machines are better than humans that are enough capable to capture and analyze data in real-time, as well as in communicating information that may be helpful to take business-related decisions faster. The Industrial Internet of Things (IIoT) relies on intelligent assets that communicate and store data ...
Vikram Puri, Ishaani Priyadarshini, Raghvendra Kumar, Long Cu Kim   +3 more
openaire   +1 more source

Improving Cognitive Ability of Edge Intelligent IIoT through Machine Learning

IEEE Network, 2019
Computer-integrated manufacturing is a notable feature of Industry 4.0. Integrating machine learning (ML) into edge intelligent Industrial Internet of Things (IIoT) is a key enabling technology to achieve intelligent IIoT.
Nadra Guizani, Jiafu Wan, Muhammad Imran
exaly   +2 more sources