SCADA intrusion detection scheme exploiting the fusion of modified decision tree and Chi-square feature selection

Love Allen Chijioke Ahakonye; Cosmas Ifeanyi Nwakanma; Jae‐Min Lee; Dong Seong Kim

doi:10.1016/j.iot.2022.100676

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SCADA intrusion detection scheme exploiting the fusion of modified decision tree and Chi-square feature selection

Love Allen Chijioke Ahakonye Cosmas Ifeanyi Nwakanma Jae‐Min Lee Dong Seong Kim

Year: 2022 Journal: Internet of Things Vol: 21 Pages: 100676-100676 Publisher: Elsevier BV

DOI: 10.1016/j.iot.2022.100676

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Keywords:

SCADA Computer science Data mining Feature selection Intrusion detection system Decision tree Feature (linguistics) Reliability (semiconductor) Feature extraction Artificial intelligence Pattern recognition (psychology) Machine learning Engineering

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Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Smart Grid Security and Resilience

Physical Sciences → Engineering → Control and Systems Engineering

SCADA intrusion detection scheme exploiting the fusion of modified decision tree and Chi-square feature selection

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Citation History

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