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Hybrid LSTM-Markov attack chain forecasting for MITRE ATT&CK. Learns from 4,849 campaign chains + 8,437 real intrusion traces. Generates 26,051 risk-ranked multi-step attack futures via constrained beam search. 86% next-step accuracy, 0.76 Pearson correlation with NCISS severity. SECRYPT 2026 submission.

  • Updated Apr 17, 2026
  • Python

Constraint-enforcing synthetic IoT packet generation. Two methods: statistical learning (PCA + dual OCSVM/IF gating, ~1,091 pkts/sec) and a genetic algorithm (composite fitness, ~5.7 pkts/sec, 0.62% anomaly). Amplifies the 5-sample ARP Spoofing class by 200x. All 12 ACI-IoT-2023 categories pass independent validators. ICCCN 2026 submission.

  • Updated Apr 17, 2026
  • Python

Central index for my research projects, code, publications, and Zenodo‑archived materials, including work on spaceborne lidar, urban forestry, vegetation modeling, and open-source geospatial workflows.

  • Updated Mar 20, 2026

ANIT — Narrative Architecture of Textual Invariance: computational verification scripts and materials for a structural narrative model based on textual invariance. / ARQUITETURA NARRATIVA DE INVARIÂNCIA TEXTUAL (ANIT) Um Modelo Estrutural de Reorganização Narrativa com Preservação Integral da Materialidade Textual

  • Updated Apr 8, 2026
  • Python

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