IoT Botnet Detection using Black-box Machine Learning Models: the Trade-off between Performance and Interpretability

Nourhène Ben Rabah,Bénédicte Le Grand,Manuele Kirsch Pinheiro

2021 IEEE 30th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)（2021）

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摘要

The growth of the Internet of Things (IoT) has led to the increase of new threats, particularly IoT botnets that are a serious cybersecurity concern. This paper proposes a Machine Learning (ML) framework using black-box models for IoT botnet detection. It offers a trade-off between performance - high model accuracy - and interpretability - by providing security experts with explainable results. Ou...

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关键词

Botnet,Conferences,Collaboration,Malware,Data models,Internet of Things,Computer security

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