Published research paper comparing machine learning and signature-based intrusion detection systems for DDoS attack detection in Software-Defined Networks. Achieved 98.86% detection accuracy using Naive Bayes trained on the InSDN dataset, outperforming Snort IDS. Presented at Computing Conference 2023 and published by Springer.
A PowerShell script for SOC analysts to check and report IP addresses against AbuseIPDB. Supports bulk operations, IPv4/IPv6, CSV export and secure API key handling. Built to speed up threat intel workflows in a SOC environment.
A free local purple team lab built on Proxmox using Ludus and Splunk Attack Range. Runs Linux and Windows targets with full Splunk logging on an Intel NUC. Zero cloud costs after a £50 AWS bill was the final straw.