A Hybrid Learning Approach for Automatic Data Labelling and Anomaly Detection in IoT Networks-Reference-Cited by-同舟云学术

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A Hybrid Learning Approach for Automatic Data Labelling and Anomaly Detection in IoT Networks

Published:2023-02-22 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd International Conference on Artificial Intelligence (ICAI)
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Author:

Kanwal Rimsha¹,Kanwal Rimsha¹,Noor Umara¹,Rashid Zahid²

Affiliation:

1. International Islamic University,Faculty of Computing and Information Technology,Department of Computer Science,Islamabad,Pakistan

2. College of Engineering, Seoul National University,Technology Management Economics and Policy Program,Seoul,South Korea

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10136637/10136621/10136687.pdf?arnumber=10136687

Reference17 articles.

1. Labelled data collection for anomaly detection in wireless sensor networks

2. Hierarchical affinity propagation;givoni;ArXiv Preprint,2012

3. An Affinity Propagation Clustering Algorithm for Mixed Numeric and Categorical Datasets

4. New Machine Learning Algorithm: Random Forest

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