jay-johnson / network-pipelineLinks
Network traffic data pipeline for real-time predictions and building datasets for deep neural networks
☆53Updated 5 years ago
Alternatives and similar repositories for network-pipeline
Users that are interested in network-pipeline are comparing it to the libraries listed below
Sorting:
- SSH traffic analysis☆23Updated 6 years ago
- VGG-19 deep learning model trained using ISCX 2012 IDS Dataset☆144Updated 7 years ago
- I have tried some of the machine learning and deep learning algorithm for IDS 2017 dataset. The link for the dataset is here: http://www.…☆42Updated 7 years ago
- In this work, we aim at developing a NIDS (Network Intrusion Detection System) that detects attacks targeting SCADA systems, in a concret…☆73Updated 2 years ago
- Real-Time Network Traffic Volume Prediction using time series and recurrent neural network☆57Updated 5 years ago
- Machine-learning-based intrusion detection☆38Updated 7 years ago
- Uses Machine Learning to detect live DDoS attacks☆68Updated 4 years ago
- Implemented a network intrusion detection system for a software defined network using Random Forest method for classification of port and…☆24Updated 7 years ago
- This program allow you to extract some features from pcap files.☆40Updated 2 years ago
- Machine learning plugins for network traffic☆125Updated 2 years ago
- Implemented a network intrusion detection system for a software defined network using Random Forest method for classification of port an…☆42Updated 7 years ago
- Networking IDS , network traffic classification with ML. Final Project for ECE-417.☆13Updated 6 years ago
- An SDN based security system for Botnet based DDoS attacks.☆15Updated 10 years ago
- Network intrusions classification using algorithms such as Support Vector Machine (SVM), Decision Tree, Naive Baye, K-Nearest Neighbor (K…☆103Updated 8 years ago
- Machine Learning Based Botnet Detection is a tool to classify network traffic as being botnet affected or not based on the network traffi…☆67Updated 5 years ago
- Machine Learning Based - Intrusion Detection System☆32Updated 3 years ago
- Extracting data and analyzing the network traffic flow☆13Updated 7 years ago
- Building an Intrusion detection system using KDD Cup 99 Dataset☆15Updated 5 years ago
- Basic Machine learning projects and assignments done by me.☆33Updated 5 years ago
- Anomaly Detection on Time-Evolving Streams in Real-time. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.☆121Updated 2 years ago
- A Recurrent Neural Networks implementation using Keras for network intrusion detection☆31Updated 4 years ago
- ☆26Updated 2 years ago
- Intrusion Prevention System to dynamically add firewall rules to block malicious traffic detected by IDS system implemented on Software D…☆50Updated 8 years ago
- cool project☆20Updated 5 years ago
- PySpark solution to the NSL-KDD dataset: https://www.unb.ca/cic/datasets/nsl.html☆127Updated 5 years ago
- Machine Learning based Intrusion Detection Systems are difficult to evaluate due to a shortage of datasets representing accurately networ…☆105Updated 5 years ago
- Cyber Attack Detection thanks to Machine Learning Algorithms☆106Updated 6 years ago
- Due to the increasingly development of network technology recently, there are various cyber-attacks posed the huge threats to different …☆30Updated 7 years ago
- CICIDS2017 dataset☆70Updated 4 years ago
- ☆58Updated 3 years ago