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InfoResearchPeer-reviewed

Fed-Adapt: A Federated Learning Framework for Adaptive Topology Reconfiguration Against Multi-Rate DDoS and Database Flooding Attacks

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Summary

The paper presents Fed-Adapt, a federated learning framework for adaptive topology reconfiguration against multi-rate DDoS and database flooding attacks. It argues that existing federated approaches to network security suffer from slow convergence, vulnerability to Byzantine participants, and a lack of automated mitigation that turns threat intelligence into network-level countermeasures.