Author

Masoud Dashtdar

Electrical Engineering Department, Faculty of Engineering, Bushehr branch, Islamic Azad University, Bushehr, Iran

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Open access Jul 2026

Design of an intelligent security system for cyber-attack detection in petrochemical SCADA networks based on a hybrid artificial neural network and Krill-Herd algorithm.

The results confirm that the proposed two-tier system detects reconnaissance and stealthy Modbus attacks with high accuracy and very low inference latency and can serve as a highly effective, intelligent tool in cyber defense against evolving threats in petrochemical industries.

Amir Mahdi Nozari, Masoud Dashtdar, Alireza Chamkoori · Scientific Reports · 0 citations