• Residence: St. George, Utah
  • Education: Utah Tech University
Project Details

Bee Triggered

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Project Description

BeeTriggered is an advanced intrusion detection system that utilizes a honeypot to detect unauthorized network activity. The honeypot is designed to lure potential intruders, allowing the system to identify when someone is attempting to snoop around the network. Once suspicious activity is detected, BeeTriggered alerts administrators in real-time, enabling immediate response to threats.

The system features a modern frontend built with SvelteKit, providing a responsive and user-friendly interface for monitoring network activity. The backend was developed using Python for handling detection logic, while MongoDB stores logs and data for analysis.

BeeTriggered was developed for the Southern Utah Code Camp in 2023 and is a demonstration of the increasing need for proactive cybersecurity solutions in today’s digital environments.

View Project at beetriggered.com View Dashboard Source Code on GitHub View Device Source Code on GitHub
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Technologies

Svelte
Svelte
Javascript
Javascript
Python
Python
MongoDB
MongoDB
CSS
CSS
HTML
HTML