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Intrusion Detection System - IDS example using Dense, Conv1d and Lstm layers in Keras / TensorFlow
Using Wasserstein Generative Adversarial Network to fool intrusion detection systems (IDS) into believing that malicious traffic is normal traffic.
Research on Deep Learning based NIDS (FYP)
Intrusion detection system using CNN and RNN
POC IDS anomaly detection engine built with iPython notebook, matplotlib, pandas, numpy, scikit-learn, d3.js, hyperloglog implementation, PYCON 2013 Intro and Advanced Machine Learning Tutorial Not…
A deep learning based intrusion detection system using CSE-CIC-IDS2018 dataset.
Intrusion Prevention System to dynamically add firewall rules to block malicious traffic detected by IDS system implemented on Software Defined Networl (SDN). Alternatively, the malicious traffic c…
A completely automated anomaly detector Zeek network flows files (conn.log).
simple network signature/rule intrusion detection system written in Python.
implement IDS using deep learning
Intrusion Detection with Python based on Pyshark and Research at the University of Amsterdam
This is a simple DNN based application for an IDS based on the CICIDS2017 dataset
Implemented a network intrusion detection system for a software defined network using Random Forest method for classification of port and flow statistics.
Adversarial Machine Learning applications on network-based Intrusion Detection System (IDS).
Implemented a network intrusion detection system for a software defined network using Random Forest method for classification of port and flow statistics.
Deep learning models for network intrusion detection
Network Intrusion Detection System using Deep Learning Techniques
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)