Smart Anomaly Detection Using Data-Driven Techniques in IoT Edge: A Survey-Reference-Cited by-同舟云学术

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Smart Anomaly Detection Using Data-Driven Techniques in IoT Edge: A Survey

Published:2022 Issue: Volume: Page:685-702
ISSN:1876-1100
Container-title:Proceedings of Third International Conference on Communication, Computing and Electronics Systems
language:
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Author:

Manokaran J.,Vairavel G.

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-8862-1_45

Reference53 articles.

1. Manyika J, Chui M, Bisson P, Woetzel J, Dobbs R, Bughin J, Aharon D (2015) The internet of things. McKinsey Global Institute, Technical Report, 06

2. Evans D (2001) The internet of things: how the next evolution of the internet is changing everything. CISCO White Paper 1:1–11

3. Howell J (2018) Number of connected IoT Device Surge to 125 billion bt 2030

4. Merenda M, Porcaro C, Iero D (2020) Edge Machine learning for AI-enabled IoT devices: a review. Sensors 20:2533

5. Chaunhan S, Vig L, Ahmad S (2019) ECG anomaly class identification using LSTM and error profile modeling. Comput Bio Medical 109:14–21

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1. PPFCM-SMOTE: a novel balancing system for anomaly detection in IoT edge using probabilistic possibilistic fuzzy clustering and SMOTE;International Journal of Information Technology;2024-08-13

2. A Multimethod Study of Internet of Things Systems Testing in Industry;IEEE Internet of Things Journal;2024-01-01

3. A Novel Set Theory Rule based Hybrid Feature Selection Techniques for Efficient Anomaly Detection System in IoT Edge;2023 International Conference on Quantum Technologies, Communications, Computing, Hardware and Embedded Systems Security (iQ-CCHESS);2023-09-15

4. Anomaly Detection and Resolution on the Edge: Solutions and Future Directions;2023 IEEE International Conference on Service-Oriented System Engineering (SOSE);2023-07

5. IGWO-SoE: Improved Grey Wolf Optimization Based Stack of Ensemble Learning Algorithm for Anomaly Detection in Internet of Things Edge Computing;IEEE Access;2023

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