# MF

**Repository Path**: Monickar/mf

## Basic Information

- **Project Name**: MF
- **Description**: This repository contains the open-source implementation of the spatio-temporal approach for Network Boolean Tomography aimed at detecting and localizing adversarial congestion attacks, as detailed in 
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2023-11-26
- **Last Updated**: 2024-02-08

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Attack Detection for Boolean Tomography

This repository is the open-source code for the method described in the paper "Network Boolean Tomography against Adversarial Congestion Attack: A Spatio-Temporal Approach".

## File Descriptions

- `Topology_zoo`, `topology_zoo`: Network environment initialization pre-configuration files, network topology data

- `attack_detect_locate.py`: Alg1. Congestion Attack Detection and Localization by Measuring the Joint Distribution Shift

- `alg_clif`: Alg2. Congested Link Identification by Optimizing the F-measure (CLIF)

- `alg_clif_int`: CLIF+

  **Comparison Algorithms (Link Diagnosis)**

- `alg_clink`: A Network Boolean Tomography Method (From C-GALS)

- `alg_tomo_z3`: A Network Boolean Tomography Method (From SAS)

- `alg_map`: A Network Boolean Tomography Method

  **About Running**

- `multiprocess_heu.py`: Fault link diagnosis by various algorithms

- `multiprocess_clif_int`: Fault link diagnosis by CLIF+

- `run.py`, `run_int.py`, `script.sh`, `script_int.sh`: Run in multiprocess

  **Picture and Data of paper**

-  `Pic&Data`: Created using Graphpad_Prism 9, with the image data stored in tables within files ending in .pzfx.

## Usage

```bash
./script.sh 0.05 &  # If the prior congestion probability is 5%
./script_int.sh 0.05 &