AI-based network attack forecasting from network traffic data - sequence models for proactive SOC defense (SIH 26153, NTRO).
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Sep 19, 2026 - Python
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attack-forecasting
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GuardianX — AI-based Network Attack Forecasting from Network Traffic Data | SIH26153. An open-source cybersecurity platform that learns network behavior, forecasts future attack states, detects malicious activity, and provides explainable predictive defense using AI-driven temporal modeling.
artificial-intelligence cybersecurity intrusion-detection network-monitoring network-security explainable-ai threat-detection world-models artificial-intelligence-and-machine-learning predictive-security artificial-intelligence-ai-web3-blockchain-open-in sih-2026 attack-forecasting sih26153 guardianx network-attack-detection
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Sep 28, 2026 - Python
Attack forecasting with a world model, and the evaluation instrument that judged it: on CTU-13 the world model catches 5 of 12 real infections where gradient boosting catches 7 to 9. Pre-registered predictions, 16 of 40 refuted and published. SIH 2026 · SIH26153 · NTRO
python machine-learning reproducible-research pytorch cybersecurity xgboost botnet-detection network-security model-evaluation counterfactual smart-india-hackathon integrated-gradients sequence-modeling pre-registration world-model ctu-13 sih2026 attack-forecasting
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Oct 4, 2026 - Python
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