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Published 2026 (date unknown)

Cyber Defense Digital Twins: A Federated Learning and Zero-Trust AI Architecture for Autonomous Threat Prediction and Response

Modern enterprise networks face sophisticated, machine-speed threats exploiting cloud misconfigurations, identity sprawl, and API vulnerabilities, challenging traditional security operations centers (SOCs).

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Published 2026 (date unknown)

Hybrid AI framework for anomaly detection and threat prediction in IoT and critical infrastructure

Addresses the challenge of detecting anomalies and predicting threats in IoT networks and critical infrastructure systems.

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Published 2026 (date unknown)

Testing through conflict: Cloud-coordinated closed-field testing for multi-agent continuous interaction scenarios

Introduces a novel cloud-coordinated closed-field testing framework designed specifically for multi-agent systems engaged in continuous interaction scenarios.

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