Topic: unsw-nb15 Goto Github
Some thing interesting about unsw-nb15
Some thing interesting about unsw-nb15
unsw-nb15,Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset
User: abhinav-bhardwaj
unsw-nb15,Machine Learning for Network Intrusion Detection & Misc Cyber Security Utilities
User: alik604
Home Page: https://alik604.github.io/cyber-security/
unsw-nb15,Multi-class SVM based network intrusion detection system with attribute selection using random forest on the UNSW-NB15 dataset
User: anishmathewjose
unsw-nb15,A Python program that uses Neural Networks to detect unusual traffic using UNSW-NB15
User: hassan7100
unsw-nb15,Notes for technologies useful in applying ml to the unsw-nb15 dataset (Draft)
User: jackm-g
unsw-nb15,Scripts for generating SHAP & LIME explainations and their corresponding plots
User: jroberts225
unsw-nb15,Big Data Analytics module (UEL-CN-7031), featuring Hive and PySpark analysis on the UNSW-NB15 dataset, with detailed tasks, scripts, visualizations, and reports
User: kyeyuneashiraf
unsw-nb15,:computer: Network System Intrusion Detection using Graph Neural Networks
Organization: musimathicslab
unsw-nb15,Basic Machine learning projects and assignments done by me.
User: nir-j
unsw-nb15,Federated Learning for Intrusion Detection System using the Flower framework and UNSW_NB15 dataset.
User: oqadisak
unsw-nb15,Codes for the paper entitled "Optimization of Predictive Performance of Intrusion Detection System Using Hybrid Ensemble Model for Secure Systems"
User: qaixerabbas
unsw-nb15,Download UNSW-NB15 and CIC-IDS2017 Datasets for Network Intrusion Detection (NIDS)
User: rdpahalavan
Home Page: https://pypi.org/project/nids-datasets/
unsw-nb15,Scripts for downloading, preprocessing, and numpy-ifying popular machine learning datasets
User: sheatsley
unsw-nb15,
User: sukhmeetsingh2002
unsw-nb15,This repository contains an implementation of an anomaly detection method called DPLAN, which is based on the reinforcement learning framework. The method is described in the paper "Toward Deep Supervised Anomaly Detection: Reinforcement Learning from Partially Labeled Anomaly Data" by Pang et al.
User: teo-sl
unsw-nb15,Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15
User: vinayakumarr
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