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An enhanced federated learning-based multistage IDS for detecting zero-day and known threats in smart home ecosystem

Jul 2026 · Cluster Computing · Vol 29 · 0 citations · 39 references
Computer Science

TL;DR

A modified federated learning based novel multi-stage intrusion detection system for real-time identification of attacks in a smart home ecosystem that ensures privacy-preserving model aggregation across distributed IoT devices while minimizing communication overhead and adapting to dynamic network conditions is introduced.

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