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[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

Deeplearningmaliciousurls ⭐ 40

Machine Learning Models to Detect and Classify Malicious URLs

Sparkstreaming Network Anomaly Detection ⭐ 5

This repository includes supervised and unsupervised machine learning methods which are used to detect anomalies on network datasets. Decision Tree, Random Forest, Gradient Boost Tree, Naive Bayes, and Logistic Regression were used for supervised learning. K-Means was used for unsupervised learning.

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