ahlashkari / ISCXFlowMeterLinks
ISCXFlowMeter is an Ethernet traffic flow generator and analyzer for anomaly detection which has been used in different network security datasets such as ISCX VPN dataset (ISCXVPN2016) and ISCX Tor dataset (ISCXTor2016).
☆74Updated last year
Alternatives and similar repositories for ISCXFlowMeter
Users that are interested in ISCXFlowMeter are comparing it to the libraries listed below
Sorting:
- Encrypted Traffic Classification using Deep Learning☆46Updated 6 years ago
- This program allow you to extract some features from pcap files.☆39Updated 2 years ago
- Utility for extraction of subset of KDD '99 features from realtime network traffic or .pcap file☆119Updated 5 years ago
- Encrypted traffic classification use CNN☆33Updated 4 years ago
- This repository contains the code used and developed during a master thesis at DTU Compute in 2018☆43Updated 7 years ago
- SSH traffic analysis☆23Updated 6 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.…☆41Updated 6 years ago
- NSL-KDD Dataset☆187Updated 9 years ago
- These scripts conduct TCPDUMP in harmony with CICFlowMeter to operation real-time traffic capturing and converting in csv file.☆52Updated 4 years ago
- Implementation realized for my master thesis on "Botnet detection in encrypted traffic - a machine learning approach"☆18Updated 6 years ago
- Machine-learning-based intrusion detection☆38Updated 6 years ago
- IDS Alert Prioritization INSuRE Research Project☆18Updated 6 years ago
- Code of "MalDetect: A Structure of Encrypted Malware Traffic Detection"☆15Updated 5 years ago
- This is a paper list about Machine Learning for IDSes☆89Updated 10 months ago
- using deep learning to classify the encrypted network traffic☆161Updated 4 years ago
- PySpark solution to the NSL-KDD dataset: https://www.unb.ca/cic/datasets/nsl.html☆126Updated 4 years ago
- manojkumar-github / Intrusion-Detection-System-for-IoT-networks-using-Gated-Recurrent-Neural-Networks-GRUAn Intelligent Intrusion Detection System for IoT networks using Gated Recurrent Neural Networks (GRU) : A Deep Learning Approach☆33Updated 6 years ago
- Network data classifier based on the recurrent neural network.☆21Updated 6 years ago
- Network traffic classifier based on machine learning algorithms☆44Updated 2 years ago
- ☆70Updated 2 years ago
- VGG-19 deep learning model trained using ISCX 2012 IDS Dataset☆140Updated 6 years ago
- 收集了部分将机器学习应用于网络流量分类的论文☆167Updated 4 years ago
- Extract Features from suspected DNS Tunneling traffic☆12Updated 8 years ago
- Due to the increasingly development of network technology recently, there are various cyber-attacks posed the huge threats to different …☆30Updated 6 years ago
- A LSTM based framework for handling multiclass imbalance in DGA botnet detection☆22Updated 4 years ago
- ☆58Updated 2 years ago
- Deep learning based Intrusion Detection System☆31Updated 5 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
- Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for …☆88Updated 5 years ago
- A simple utility to classify packets into flows. It's so simple that only one task is aimed to finish. For Deep Packet Inspection or flo…☆170Updated last month