A Monitoring Tool for TOR Network
Project description
TrackTor
TrackTor is a platform independent tool that provides statistical and analytical data tracked from the tor services exercised by the end user. Some of the highlighting features of TrackTor include detailed Bandwidth, Connections and Resources usage information, Event Logs details and many more. TrackTor finds its significance and wide usage with respect to professional commercial and research work ongoing in the field of Deep/Dark web. It is an enhanced and versatile Graphical User Interface (GUI) based implementation, providing it an edge over the previously existing contemporary monitoring tools.
TrackTor Features
General Features
- Graphical User Interface
- Platform Independent
- User Friendly
Utilities
- Relay Information
- Node Information
- Bandwidth Graph (Uploads & Downloads Data)
- Connections Graph (Inbound & Outbound Connections)
- Resources Graph (CPU & RAM Usage)
- Logging of Events and Option to Save Selected Log Information
- New Identity Creation
- Edit and Configure Torrc (Tor's Configuration File)
- Setting Configurations
- Connect/ Disconnect Tor
Features in Detail
- Detailed Connections Information
- Detailed Resources Information
Technologies Used in Development
-
Frontend (GUI) - PyQT5, Pyqtgraph
-
Backend - Python3, Stem API
Python Modules & Libraries Used
- psutil,
- getpass
- sqlite3
- threading
- numpy
- collections
- functools
- argparse
- pycountry
- time, datetime, Calendar
Getting Started with TrackTor
Step 1 : Download and Setup Python on System (Python3+ Recommended)
Step 2 : Download Tor Browser from https://www.torproject.org/download/languages/. It is the easiest and most common method to exercise TOR Network.
Step 3 : Copy the following command and run it in your native Terminal (CMD for Windows), Replace 'x' with your pip version (pip/pip3),
$ pipx install TrackTor
Step 4 : Open/Run Tor Browser
Step 5 : Type and Run the following on Terminal,
$ TrackTor
Step 6 : Hurray! You have successfully setup TrackTor on your system.
About the Developers
Institute : Malaviya National Institute of Technology
Department : Computer Science & Engineering
Developers,
- Harsh Gandhi - hrgandhi1@gmail.com
- Ritu Karela - ritukarela1234@gmail.com
- Parul Agrawal - parulagrawal1507@gmail.com
Mentor : Dr. Pilli Emmanuel Shubhakar - espilli.cse@mnit.ac.in
Project details
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