Traffic Abnormality Detection ML-based Method for IoT-Reference-Cited by-同舟云学术

Traffic Abnormality Detection ML-based Method for IoT

Published:2021-11-29 Issue: Volume: Page:
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Container-title:2021 IEEE International Conference on Information and Telecommunication Technologies and Radio Electronics (UkrMiCo)
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Author:

Ageyev Dmytro¹,Radivilova Tamara¹,Bondarenko Oleg¹,Mohammed Othman¹

Affiliation:

1. Kharkiv National University of Radio Electronics,V.V. Popovskyy Department of Infocommunication Engineering,Kharkiv,Ukraine

Funder

National Research Foundation of Ukraine

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9716582/9716586/09716705.pdf?arnumber=9716705

Reference13 articles.

1. A survey of network anomaly detection techniques

2. Mining of Massive Datasets

3. Parametric synthesis of enterprise infocommunication systems using a multi-layer graph model;ageyev;2013 23rd International Crimean Conference "Microwave & Telecommunication Technology" CriMiCo,2013

4. Provision security in SDN/NFV

5. Classification of existing virtualization methods used in telecommunication networks

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