AI Powered Honeypot

Overview
Hello all, this is my first post and I wanted to share an interesting project I’ve been working on. With the rise of artificial intelligence, I often find myself wondering about useful tools that can be built with it. That curiosity led to the creation of Project Alpha—an AI-powered honeypot solution.

Honeypots are typically used to gather information about attackers, including their origin, tactics, and more. Since this is the first honeypot I’ve ever built, the implementation is simple—but hey, simple’s better, right?

To give it a bit of an edge, I decided to use the most overused word in our community today: “AI.” The tool uses clustering (basically grouping similar behavior together) to determine whether a hacker or a normal user is interacting with the honeypot. It also features a slick attack-origin “war map,” where the IP addresses of identified attackers are pinged and mapped to give geographical insight into where they’re coming from.

I had a lot of fun building this project, and I hope that one day it could be applied in a real-world setting for businesses. It still needs a bit of polish, but I think it has real potential.

Thanks for reading! - Apex

What Does This Project Accomplish?

• Implements an AI-powered honeypot to detect and analyze malicious activity.
• Uses clustering algorithms to distinguish between normal users and potential attackers.
• Visualizes attack origins with a dynamic “war map” that geolocates IP addresses.
• Provides a lightweight, modular setup using Python and Docker for easy deployment.
• Supports cybersecurity education and research by offering a sandbox for experimentation.

If your interested in contributing or helping with the project please feel free to check out the repo:
[https://github.com/ApexProgrammer/alpha#:~:text=-%20GitHub%20-%20ApexProgrammer%2Falpha%3A%20AI%20powered,honeypot%20for%20cybersecurity%20research%20and%20practical%20use.]