Unsupervised machine learning for network-centric anomaly detection in IoT-Reference-Cited by-同舟云学术

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Unsupervised machine learning for network-centric anomaly detection in IoT

Published:2019-12-09 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 3rd ACM CoNEXT Workshop on Big DAta, Machine Learning and Artificial Intelligence for Data Communication Networks
language:
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Author:

Bhatia Randeep¹,Benno Steven¹,Esteban Jairo¹,Lakshman T. V.¹,Grogan John²

Affiliation:

1. Nokia Bell Labs

2. C Spire

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3359992.3366641

Reference22 articles.

Cited by 52 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. IoT-PRIDS: Leveraging packet representations for intrusion detection in IoT networks;Computers & Security;2024-11

2. A Review of Machine Learning Methods for IoT Network-Centric Anomaly Detection;2024 47th International Conference on Telecommunications and Signal Processing (TSP);2024-07-10

3. An Advanced Cybersecurity Model for High-Tech Farming Using Machine Learning Approach;Advances in Environmental Engineering and Green Technologies;2024-04-26

4. A Comprehensive Study of Supervised Machine Learning Assisted Approaches for IoT Device Identification;2024 International Conference on Computing, Networking and Communications (ICNC);2024-02-19

5. An Unsupervised Machine Learning Algorithm for Attack and Anomaly Detection in IoT Sensors;Wireless Personal Communications;2024-02-09

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