Semi-Supervised Anomaly Traffic Detection via Multi-Frequency Reconstruction

Indroduction

This repository is a PyTorch implementation of "Semi-Supervised Anomaly Traffic Detection via Multi-Frequency Reconstruction".

Requirement

1. Hardware: >= 10G GPU memory
2. Software: PyTorch>=1.0.0, python3

Getting Started

Installation

1. Clone this repository
   git clone https://github.com/ikun0124/MFR

Implementation

1. Train
   python train.py
2. Test
   python test.py