A proof-of-concept for an Anomaly-based Intrusion Detection System based on a neural network.
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Updated
Jul 8, 2020 - Jupyter Notebook
A proof-of-concept for an Anomaly-based Intrusion Detection System based on a neural network.
Code for PerCom paper 'Edge2Guard: Botnet Attacks Detecting Offline Models for Resource-Constrained IoT Devices'
Hybrid Machine Learning and Rule-Based Phishing Detection System. Implements URL-based feature engineering and heuristic attack type classification using Random Forest and XGBoost.
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