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DISTRIBUTED DEEP LEARNING FOR EDGE SECURITY: A REVIEW OF FEDERATED LEARNING APPROACHES FOR ZERO-DAY ATTACK DETECTION IN IOT AND IIOT DEVICES

Abstract

Zero-day attacks present a formidable challenge in IoT and IIoT environments due to their decentralized and heterogeneous nature. Unlike traditional IT systems, IoT and IIoT devices operate in dynamic, resource-constrained settings, where frequent upd

Research topics

  • Network Security and Intrusion Detection
  • Smart Grid Security and Resilience

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DOI: 10.36227/techrxiv.175022110.09562230/v1

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