Cybersecurity · Machine Learning
MSc thesis researchAdaptive Autonomous Cyber Defense Agent
A closed-loop intrusion detection and response framework that doesn't stop at detection — it simulates adversarial attacks against its own model, adapts, and responds semi-autonomously.
- Detect, attack itself, adapt, and respond — in one closed loop
- Adversarial robustness evaluated through controlled experiments
- 168-page thesis generated from the codebase, so reported metrics cannot drift from results
- Lines of Python
- 10K+
- Tests passing
- 110
- Thesis pages
- 168
- Python
- Machine Learning
- Intrusion Detection
- Adversarial ML
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