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Fahim Al Islam

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

Dataset Entries from this Author

BRURIIoT: A Dataset for Network Anomaly Detection in IIoT with an Enhanced Feature Engineering Approach

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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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