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Feature Selection for Wi-Fi Intrusion Detection by Md. Shahadat Hossain Shahal is a document available to read on EtoBox.
What is Feature Selection for Wi-Fi Intrusion Detection about?
The document presents a machine learning approach for feature selection in wireless intrusion detection systems, specifically focusing on the class imbalance issue in the AWID dataset. By employing a gradient-boosted model and a novel feature selection technique, the authors achieved a high detection accuracy of 99% while addressing the challenges posed by the dataset
- Author
- Md. Shahadat Hossain Shahal
- Language
- EN