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Title
Comparative Analysis of Machine Learning Techniques for IoT Anomaly Detection Using the NSL-KDD Dataset
Author
Zaryn Good, Waleed Farag, Xin-Wen Wu, Soundararajan Ezekiel, Maria Balega, Franklin May, and Alicia Deak
Vol. 23 No. 1 pp. 46-52
Keywords
Internet of Things (IoT), XGBoost, SVM, DCNN, NSL-KDD, Machine Learning, Anomaly Detection
Enhancing E-commerce Security: A Comprehensive Approach to Real-Time Fraud Detection
Sara Alqethami, Badriah Almutanni, Walla Aleidarousr
Vol. 24 No. 4 pp. 1-10
Fraud detection, E-commerce, Real-time transactions XGBoost, Na?ve Bayes; Neural Network
An Explainable AI-Based Hybrid Framework for Botnet-Driven DDoS Attack Detection Using SHAP and Ensemble Learning
Prof. Ruksar Fatima
Vol. 26 No. 7 pp. 1-17
Botnet; Distributed Denial-of-Service Attack; Explainable Artificial Intelligence; SHAP; Ensemble Learning; Intrusion Detection System; Network Security; XGBoost; Random Forest.