Real name: 
First Name: 
Fahim
Last Name: 
Al Islam
Affiliation: 
Begum Rokeya University, Rangpur, Bangladesh
Job Title: 
Software Engineer
Expertise: 
Network Security, Large Language Model, Software Engineering

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This paper presents an enhanced methodology for network anomaly detection in Industrial IoT (IIoT) systems using advanced data aggregation and Mutual Information (MI)-based feature selection. The focus is on transforming raw network traffic into meaningful, aggregated forms that capture crucial temporal and statistical patterns. A refined set of 150 features including unique IP counts, TCP acknowledgment patterns, and ICMP sequence ratios was identified using MI to enhance detection accuracy.

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