Efficient Classification of Enciphered SCADA Network Traffic in Smart Factory Using Decision Tree Algorithm

Efficient Classification of Enciphered SCADA Network Traffic in Smart Factory Using Decision Tree Algorithm

Vulnerability detection in Supervisory Control and Data Acquisition (SCADA) network of a Smart Factory (SF) is a high-priority research area in the cyber-security domain. Choosing an efficient Machine Learning (ML) algorithm for intrusion detection is a huge challenge. This study performed an invest...

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Bibliographic Details
Main Authors: Love Allen Chijioke Ahakonye, Cosmas Ifeanyi Nwakanma, Jae-Min Lee, Dong-Seong Kim
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Algorithms
artificial intelligence
machine learning
SCADA systems
Online Access:https://ieeexplore.ieee.org/document/9612219/

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