ML-Based Delay Attack Detection and Isolation for Fault-Tolerant Software-Defined Industrial Networks

ML-Based Delay Attack Detection and Isolation for Fault-Tolerant Software-Defined Industrial Networks

Traditional security mechanisms find difficulties in dealing with intelligent assaults in cyber-physical systems (CPSs) despite modern information and communication technologies. Furthermore, resource consumption in software-defined networks (SDNs) in industrial organizations is usually on a larger...

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Bibliographic Details
Main Authors: Sagar Ramani, Rutvij H. Jhaveri
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Sensors
Subjects:
SDN
delay attack
security
machine learning
industrial networks
CPS
Online Access:https://www.mdpi.com/1424-8220/22/18/6958

Internet

https://www.mdpi.com/1424-8220/22/18/6958

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