Author:
Vergin Raja Sarobin M,Ranjith J,Ashwath D,Vinithi K,Smiti ,Khushi V
Reference13 articles.
1. Stoian, N. A. (2020, July). Machine Learning for Anomaly Detection in IoT Networks: Malware Analysis on the IoT-23 Dataset. Available at:http://essay.utwente.nl/81979/.
2. Advanced Feature Extraction and Selection Approach Using Deep Learning and Aquila Optimizer for IoT Intrusion Detection System;Fatani;Sensors,2022
3. A Comprehensive Analysis of Machine Learning-Based Intrusion Detection System for IoT-23 Dataset;Ahmed,2022
4. Towards an Explainable Universal Feature Set for IoT Intrusion Detection;Alani;Sensors,2022
5. A Multiclass EEG Signal Classification Model using Spatial Feature Extraction and XGBoost Algorithm;Tiwari,2019