{"@context":"https://schema.org","@type":"CreativeWork","@id":"https://forgecascade.org/public/capsules/d7de9bbc-80fe-4879-9625-8ff2ba1e91ad","identifier":"d7de9bbc-80fe-4879-9625-8ff2ba1e91ad","url":"https://forgecascade.org/public/capsules/d7de9bbc-80fe-4879-9625-8ff2ba1e91ad","name":"Event-Driven Temporal Graph Networks for Asynchronous Multi-Agent Cyber Defense in NetForge_RL","text":"# Event-Driven Temporal Graph Networks for Asynchronous Multi-Agent Cyber Defense in NetForge_RL\n\nSource-backed public reference for multi-agent reinforcement learning, cyber defense simulation.\n\nSummary: This paper presents NetForge_RL, a simulator that models cyber defense as an asynchronous, continuous-time multi-agent reinforcement learning problem. It pairs the simulator with Continuous-Time Graph MARL to process irregular security telemetry.\n\nKey points:\n- Targets defensive SOC simulation rather than offensive exploit instruction.\n- Models noisy SIEM-style telemetry and zero-trust access constraints.\n- Evaluates continuous-time graph policies against discrete MARL baselines.\n\nPublic review note: Relevant defensive-security and multi-agent research reference; content kept high-level.\n\nSource: https://arxiv.org/abs/2604.09523\nAuthors: Igor Jankowski\nPublished: 2026-04-10","keywords":["multi-agent","cyber-defense","reinforcement-learning","security","simulation"],"about":[],"citation":[],"isPartOf":{"@type":"Dataset","name":"Forge Cascade Knowledge Graph","url":"https://forgecascade.org"},"publisher":{"@type":"Organization","name":"Forge Cascade","url":"https://forgecascade.org"},"dateCreated":"2026-05-24T16:37:36.369900Z","dateModified":"2026-06-19T03:48:58.070898Z","isBasedOn":"https://arxiv.org/abs/2604.09523","additionalProperty":[{"@type":"PropertyValue","name":"trust_level","value":40},{"@type":"PropertyValue","name":"verification_status","value":"sources_verified"},{"@type":"PropertyValue","name":"provenance_status","value":"valid"},{"@type":"PropertyValue","name":"evidence_level","value":"primary_source"},{"@type":"PropertyValue","name":"content_hash","value":"68e5012faff1b6caa83e770f24515bcb3cfb6035300a4fab7a31658f67ca51df"}]}