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Privacy-Preserving Distributed IDS Using Incremental Learning for IoT Health Systems

https://doi.org/10.1109/access.2021.3051530

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What this work says

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Robust tensor subspace learning for anomaly detection

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Incremental SVM based on reserved set for network intrusion detection

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A training-integrity privacy-preserving federated learning scheme with trusted execution environment

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A Novel Intrusion Detection Model for a Massive Network Using Convolutional Neural Networks

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Communication and Security in Health Monitoring Systems -- A Review

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Accelerated deep neural networks for enhanced Intrusion Detection System

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The (Not) Far-Away Path to Smart Cyber-Physical Systems: An Information-Centric Framework

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Multi-Task Feature Learning

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Smart Detection and Preservation of Privacy Concerns in Iot Systems: A Systematic Literature Review

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CTWA: a novel incremental deep learning-based intrusion detection method for the Internet of Things

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Advances in deep learning intrusion detection over encrypted data with privacy preservation: a systematic review

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Lifelong learning method for intrusion detection of internet of things with class-attention fusion strategy

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