Advancements in training and deployment strategies for AI-based intrusion detection systems in IoT: a systematic literature review

Advancements in training and deployment strategies for AI-based intrusion detection systems in IoT: a systematic literature review

Abstract As the Internet of Things (IoT) grows, ensuring robust security is crucial. Intrusion Detection Systems (IDS) protect IoT networks from various cyber threats. This systematic literature review (SLR) explores the advancements in training and deployment strategies of Artificial Intelligence (...

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Bibliographic Details
Main Authors: S. Kumar Reddy Mallidi, Rajeswara Rao Ramisetty
Format: Article
Language:English
Published: Springer 2025-01-01
Series:Discover Internet of Things
Subjects:
IoT
IDS
Deployment strategies
Training paradigms
Machine learning
Federated learning
Online Access:https://doi.org/10.1007/s43926-025-00099-4
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https://doi.org/10.1007/s43926-025-00099-4

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