Skip to content

Undergraduate Honours Thesis on the Mirai Botnet. A virtual environment was setup to capture Mirai attack traffic. This repo contains the scripts and programs used to automate the pre-processing and mining of this traffic.

Notifications You must be signed in to change notification settings

0xMack/mirai-thesis

Repository files navigation

Mirai Botnet Traffic Analysis - Honours Thesis

This repository contains scripts used for the pre-processing and analysis of attack traffic generated by mirai. Attack traffic was generated by launching attacks in a sandbox environment, but the traffic is too large to upload here.

Datasets

argus_6attack: 6 types of Mirai DDoS attack traffic captured in isolated lab environment. Attack types are 'ack', 'vse', 'greip', 'greeth', 'syn' and 'udp'. The capture packets were converted to flows using Argus.

tranalyzer_6attack: Same as argus_6attack, but the pcaps are converted to flows with Tranalyzer instead of Argus.

CTU-Malware-Capture-Botnet-45: https://mcfp.felk.cvut.cz/publicDatasets/CTU-Malware-Capture-Botnet-45/

Results

Traffic Mining - Flow Analysis

argus_6attack - python and weka decision trees

About

Undergraduate Honours Thesis on the Mirai Botnet. A virtual environment was setup to capture Mirai attack traffic. This repo contains the scripts and programs used to automate the pre-processing and mining of this traffic.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published