PPFCM-SMOTE: a novel balancing system for anomaly detection in IoT edge using probabilistic possibilistic fuzzy clustering and SMOTE

Author:

Manokaran J.ORCID,Vairavel G.,Vijaya J.

Publisher

Springer Science and Business Media LLC

Reference55 articles.

1. Asghari P, Rahmani AM, Javadi HHS (2019) Internet of things applications: a systematic review. Comput Netw 148:241–261. https://doi.org/10.1186/s40537-019-0268-2

2. Markit I (2017) The internet of things: a movement, not a market. IHS Market 1(1):1

3. Statista (2018) Internet of things (iot) connected devices installed base worldwide from 2015 to 2025 (in billions). https://www.statista.com/statistics/471264/iot-number-of-connecteddevicesworldwide/

4. Statista (2022) Size of the internet of things (iot) security market worldwide from 2016 to 2025. https://www.statista.com/statistics/993789/worldwide-IoT-security-market-size

5. Manokaran J, Vairavel G (2023) Igwo-soe: Improved grey wolf optimization based stack of ensemble learning algorithm for anomaly detection in internet of things edge computing. IEEE Access. https://doi.org/10.1109/ACCESS.2023.3319814

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