Resource Efficient Intrusion Detection Systems for Internet of Things Using Online Machine-Learning Models
Author:
Affiliation:
1. Universitas Brawijaya, Indonesia
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3626641.3626672
Reference16 articles.
1. A Novel Online Incremental Learning Intrusion Prevention System
2. T-DFNN: An Incremental Learning Algorithm for Intrusion Detection Systems
3. An Incremental Learning Algorithm on Imbalanced Data for Network Intrusion Detection Systems
4. Statista Research Department . 2016. Internet of Things (IoT) connected devices installed base worldwide from 2015 to 2025 . https://www.statista.com/statistics/471264/iot-number-of-connected-devices-worldwide/ Statista Research Department. 2016. Internet of Things (IoT) connected devices installed base worldwide from 2015 to 2025. https://www.statista.com/statistics/471264/iot-number-of-connected-devices-worldwide/
5. Attack and anomaly detection in IoT sensors in IoT sites using machine learning approaches
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