Effective intrusion detection in heterogeneous Internet-of-Things networks via ensemble knowledge distillation-based federated learning

Effective intrusion detection in heterogeneous Internet-of-Things networks via ensemble knowledge distillation-based federated learning

With the rapid development of low-cost consumer electronics and cloud computing, Internet-of- Things (IoT) devices are widely adopted for supporting next-generation distributed systems such as smart cities and industrial control systems. IoT devices are often susceptible to cyber attacks due to thei...

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Bibliographic Details
Main Authors: Shen, Jiyuan, Yang, Wenzhuo, Chu, Zhaowei, Fan, Jiani, Niyato, Dusit, Lam, Kwok-Yan
Other Authors: College of Computing and Data Science
Format: Conference Paper
Language:English
Published: 2024
Subjects:
Computer and Information Science
Intrusion detection system
Federated learning
Online Access:https://hdl.handle.net/10356/180743

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