jay-johnson / network-pipelineLinks
Network traffic data pipeline for real-time predictions and building datasets for deep neural networks
☆50Updated 4 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
- Developed an Anomaly-based intrusion detection system using Multi Level Perceptron☆19Updated 4 years ago
- Machine learning plugins for network traffic☆126Updated last year
- Anomaly Detection on Time-Evolving Streams in Real-time. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.☆120Updated last year
- 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.…☆41Updated 6 years ago
- VGG-19 deep learning model trained using ISCX 2012 IDS Dataset☆141Updated 6 years ago
- Network traffic classifier based on machine learning algorithms☆44Updated 3 years ago
- ☆38Updated 3 years ago
- Uses Machine Learning to detect live DDoS attacks☆67Updated 4 years ago
- In this work, we aim at developing a NIDS (Network Intrusion Detection System) that detects attacks targeting SCADA systems, in a concret…☆70Updated 2 years ago
- Machine learning algorithms applied on log analysis to detect intrusions and suspicious activities.☆156Updated this week
- Machine-learning-based intrusion detection☆38Updated 7 years ago
- Real-Time Network Traffic Volume Prediction using time series and recurrent neural network☆49Updated 4 years ago
- Use PyShark and scapy to read fields from a pcap file and populate a CSV☆56Updated 5 years ago
- Network intrusions classification using algorithms such as Support Vector Machine (SVM), Decision Tree, Naive Baye, K-Nearest Neighbor (K…☆103Updated 7 years ago
- This repository contains datasets for network modeling simulated with OMNet++☆99Updated last year
- Attack and Anomaly detection in the Internet of Things (IoT) infrastructure is a rising concern in the domain of IoT. With the increased …☆50Updated 6 years ago
- Coburg Intrusion Detection Data Sets☆51Updated 7 years ago
- This program allow you to extract some features from pcap files.☆40Updated 2 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…☆68Updated 4 years ago
- Intrusion Prevention System to dynamically add firewall rules to block malicious traffic detected by IDS system implemented on Software D…☆50Updated 7 years ago
- Cyber Attack Detection thanks to Machine Learning Algorithms☆106Updated 5 years ago
- Implemented a network intrusion detection system for a software defined network using Random Forest method for classification of port and…☆24Updated 6 years ago
- This repository contains the code used and developed during a master thesis at DTU Compute in 2018☆43Updated 7 years ago
- A Recurrent Neural Networks implementation using Keras for network intrusion detection☆30Updated 4 years ago
- A thesis submitted for the degree of Master of Science in Computer Networks and Security☆225Updated 2 years ago
- ☆70Updated 2 years ago
- Implemented a network intrusion detection system for a software defined network using Random Forest method for classification of port an…☆39Updated 6 years ago
- Applying Machine Learning model (SVM) into DDoS attack detection in SDN.☆49Updated 4 years ago
- NSL-KDD Dataset☆188Updated 9 years ago