irijije / DeepLearningIDS

#计算机科学#Network Intrusion Detection System using Deep Learning Techniques

INCF Dataspace utilities

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

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 Notebo...

Research on Deep Learning based NIDS (FYP)

Using Wasserstein Generative Adversarial Network to fool intrusion detection systems (IDS) into believing that malicious traffic is normal traffic.

#计算机科学#Intrusion Detection System - IDS example using Dense, Conv1d and Lstm layers in Keras / TensorFlow

Deep learning models for network intrusion detection

A completely automated anomaly detector Zeek network flows files (conn.log).

#计算机科学#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.

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 can ...

AI-IDS software for Splunk

Implemented a network intrusion detection system for a software defined network using Random Forest method for classification of port and flow statistics.

Using NSL_KDD data