Adaptive Intrusion Detection in the Networking of Large-Scale LANs With Segmented Federated Learning

Adaptive Intrusion Detection in the Networking of Large-Scale LANs With Segmented Federated Learning

Predominant network intrusion detection systems (NIDS) aim to identify malicious traffic patterns based on a handcrafted dataset of rules. Recently, the application of machine learning in NIDS helps alleviate the enormous effort of human observation. Federated learning (FL) is a collaborative learni...

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Bibliographic Details
Main Authors: Yuwei Sun, Hiroshi Esaki, Hideya Ochiai
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Open Journal of the Communications Society
Subjects:
Cybersecurity
deep learning
intrusion detection
segmented-federated learning
LAN
convolutional neural network
Online Access:https://ieeexplore.ieee.org/document/9296578/

Internet

https://ieeexplore.ieee.org/document/9296578/

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