Projects / Research
Machine learning for phishing detection
Built ML models for phishing detection and automated tracking of cybercriminal infrastructure.
The challenge
Phishing infrastructure changes faster than manual blocklists can track.
What I did
- Researched cyberattack countermeasures and prevention under an IBM CAS fellowship.
- Analysed phishing datasets as an APWG Research Fellow (2022 – 2024).
Outcomes
- IBM CAS Fellowship
- APWG research contribution
Next project