Guillem96 / kitsune-pytorch
Non-official implementation of Kitsune: An Ensemble of Autoencoders for Online Network Intrusion Detection
☆20Updated 2 years ago
Alternatives and similar repositories for kitsune-pytorch:
Users that are interested in kitsune-pytorch are comparing it to the libraries listed below
- An automatic packet crafting tool for evading learning-based NIDS☆77Updated 3 years ago
- Encrypted Network Traffic Classification using Deep Learning☆51Updated 10 months ago
- Traffic dataset USTC-TFC2016☆125Updated 5 years ago
- One Train for Two Tasks: An Encrypted Traffic Classification Framework Using Supervised Contrastive Learning☆37Updated 11 months ago
- Source code for the paper: Adaptive Clustering-based Malicious Traffic Classification at the Network Edge (https://homepages.inf.ed.ac.uk…☆31Updated 3 years ago
- ☆24Updated last year
- ☆17Updated 4 years ago
- T. Shapira and Y. Shavitt, "FlowPic: A Generic Representation for Encrypted Traffic Classification and Applications Identification," in I…☆76Updated 2 years ago
- FS-Net: A Flow Sequence Network For Encrypted Traffic Classification☆44Updated 4 years ago
- Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications (CCS'21)☆71Updated 3 years ago
- ☆40Updated 2 months ago
- Code for “FS-Net: A Flow Sequence Network For Encrypted Traffic Classification”☆88Updated 4 years ago
- Analysis of the ISCX VPN-nonVPN Dataset 2016 for Encrypted Network Traffic Classification☆81Updated last year
- ☆18Updated 2 years ago
- Code for the paper "Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"☆33Updated last year
- 多进程读取pcap,基于五元组分流并提取流量特征。结果输出为csv文件,用于机器学习中对加密流量进行分 类☆84Updated 2 years ago
- 网络流量分类对比方法汇总☆156Updated last year
- Implementation of "How to Achieve High Classification Accuracy with Just a Few Labels: A Semi-supervised Approach Using Sampled Packets"☆32Updated 5 years ago
- Code for “MaMPF: Encrypted Traffic Classification Based on Multi-Attribute Markov Probability Fingerprints”☆19Updated 4 years ago
- ☆73Updated last year
- Implementation of AppScanner☆40Updated 2 years ago
- Realtime Robust Malicious Traffic Detection via Frequency Domain Analysis☆126Updated last year
- Low-Quality Training Data Only? A Robust Framework for Detecting Encrypted Malicious Network Traffic☆50Updated last month
- ☆16Updated last year
- It is a network traffic classifier based on deep learning.☆45Updated 11 months ago
- Code and dataset for AppScanner☆28Updated 7 years ago
- The code and dataset for "Subverting Website Fingerprinting Defenses with Robust Traffic Representation".☆46Updated last year
- ☆37Updated 2 years ago
- ☆57Updated 2 years ago
- ☆36Updated last month