Chapter 8 Intrusion Detection for IoT-based Context and Networks
Year: 2025
Type: book-chapter
Abstract: Exploring the implementation of a robust Monitoring and Intrusion Detection System (IDS) within the ERATOSTHENES project. It details the integration of machine learning techniques for enhanced threat detection in complex IoT environments. The chapter also discusses the development and implementation of FedLPy, a federated learning approach for collaborative threat detection on edge devices, enhancing network security through distributed intelligence.
Authors: Rosella Omana Mancilla, Francesca Costantino, Cesar Caramazana Zarzosa, Juan Manuel Vera Diaz
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4410173202