Inam Ullah Khan

Inam Ullah Khan

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Robust Big Data Analytics for Intrusion Detection in IoT Network

Lightning Talk

In the current digital era, network security has become a paramount concern due to the exponential increase in network traffic and the corresponding rise in cyber threats, especially within IoT networks. Network Intrusion Detection Systems (NIDS) play a crucial role in identifying and mitigating these threats. This work presents a robust big data analytics framework for NIDS that integrates multiple machine learning algorithms to enhance detection accuracy and robustness through a comprehensive three-step process: preprocessing, feature engineering, and stacking.