I'm a fourth-year BSc Cybersecurity student at Edinburgh Napier University with over 5 years of self-taught experience in offensive security, reverse engineering, digital forensics, and AI tooling. I've developed tools for botnet detection, automation in digital forensics, and custom penetration testing workflows. Passionate about building hands-on projects that reflect real-world attack and defense scenarios.
My background, skills, and professional journey
As a cybersecurity specialist with a focus on offensive security and digital forensics, I combine theoretical knowledge with practical hands-on experience. My approach to security is holistic, understanding both the attacker's mindset and the defender's challenges.
I specialize in developing custom tools that automate security processes, enhance threat detection capabilities, and streamline digital forensics workflows. My work sits at the intersection of cybersecurity, programming, and artificial intelligence.
Developed an AI-assisted digital forensics artifact generator for training and testing.
Created a custom PCAP analyzer for network traffic pattern recognition.
Implemented a Snort-based IDS with custom rule configurations.
Began research into ERC-20 token security and automated claim systems.
Explore my cybersecurity projects and technical work
An advanced tool that uses machine learning to generate realistic digital forensics artifacts for training and testing.
A sophisticated Python tool for deep packet inspection and network traffic analysis with pattern recognition capabilities.
A customized Snort-based IDS with specialized rule configurations for detecting sophisticated network attacks.
An automated system for detecting and claiming ERC-20 token airdrops with security analysis capabilities.
Check out my latest public repositories
A Python-based tool for analyzing PCAP files and extracting network traffic patterns.
Configuration files and rules for Snort-based Intrusion Detection System implementation.
Automated tool for scanning and claiming ERC-20 tokens from airdrops.
Have a project in mind or want to discuss cybersecurity? Get in touch!
contact@callumcameron.com
Edinburgh, Scotland
Edinburgh Napier University
4A72 E89F 55C1 D8AB 1E2C
Developed an AI-powered tool that generates realistic digital forensic artifacts for cybersecurity training and testing scenarios. This tool helps investigators practice their skills on simulated but realistic data.
Created a comprehensive packet analysis tool that processes PCAP files to identify network anomalies, potential security threats, and traffic patterns. The tool provides detailed visualizations and reports for security analysts.
Implemented a customized Snort-based Intrusion Detection System with enhanced rule sets and alert mechanisms. The system is designed to detect and respond to various network-based attacks in real-time.
Developed an automated tool that scans Ethereum addresses for unclaimed ERC-20 tokens and airdrops. The system automates the claim process and monitors for new opportunities across multiple wallets.