Anomaly Detection in IoT Networks: From Architectures to Machine Learning Transparency

Anomaly Detection in IoT Networks: From Architectures to Machine Learning Transparency

Machine learning (ML) is becoming an integral part of networks security arsenal, where Internet of Things (IoT) structures play an increasingly important role. However, IoT networks have many specific requirements, mostly due to limited energy availability and stringent computing resources. This res...

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Bibliographic Details
Main Authors: Aleks Huc, Denis Trcek
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Computer networks
Internet of Things
security architectures
anomaly detection
machine learning
functional transparency
Online Access:https://ieeexplore.ieee.org/document/9406023/

Internet

https://ieeexplore.ieee.org/document/9406023/

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