A new Intrusion Detection System for Secured IoT/IIoT Networks based on LGBM
نویسندگان
چکیده
The Internet of Things (IoT) is one the technologies used in many fields today. Cyber attacks against IoT/Industrial IoT (IIoT) networks, which are increasingly thanks to convenience it provides, constantly increasing. Detection IoT/IIoT networks popular topics recently. development a dataset for applications essential intrusion detection networks. In this context, ToN_IoT created laboratory UNSW Canberra (Australia) most comprehensive datasets that can be detect cyber on study, fridge, garage door, GPS tracker, modbus, motion light, weather, thermostat related sensors from were used. subjected multi-class classification with Light Gradient Boosting Machine (LGBM) classifier proposed study. obtained results compared literature and was seen method provided highest performance literature. It has been determined effective preventing
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ژورنال
عنوان ژورنال: Gazi Üniversitesi Fen Bilimleri dergisi
سال: 2023
ISSN: ['2147-9526']
DOI: https://doi.org/10.29109/gujsc.1173286