docs: update thesis with EIF, autoencoders, ensemble architecture, quantile drift
- §2.4.2: Add Extended Isolation Forest theory (Hariri et al., TKDE 2021)
- §2.4.2b: New section on autoencoders for network anomaly detection
(Kitsune, β-VAE, hybrid AE+IF studies)
- §2.4.2c: New section on hybrid supervised+unsupervised ensembles
(triple-voice architecture: EIF + AE + XGBoost + meta-learner)
- §2.4.3: Enhanced drift detection with quantile digest and validation gate
- §6.2: Multi-level baseline contamination mitigation
- §7: Updated conclusion reflecting ensemble architecture
- §8: 10 new references (Hariri 2021, Mirsky 2018, Baptiste 2026, etc.)
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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