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Orthogonal projection for anomaly detection in networking datasets

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Bibliographic Details
Main Authors: David, Cortes-Polo, Luis I., Jimenez, Mercedes E., Paoletti
Format: Book
Language:English
Published: Springer 2023
Subjects:
Orthogonal projection
Online Access:https://link.springer.com/article/10.1007/s12652-023-04605-w
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8506
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spelling oai:localhost:PNK-85062023-05-25T04:32:41Z Orthogonal projection for anomaly detection in networking datasets David, Cortes-Polo Luis I., Jimenez Mercedes E., Paoletti Orthogonal projection CC BY In recent years, the impressive growth of new wireless technologies, together with the appearance of new requirements in applications and services, is progressively changing the use of networks. Due to the high mobility required, the network must adapt to the infrastructure to meet the demands of the users. As a result, service providers currently have to over-provision network capacity, which is costly. In addition, considering efficient resource planning in advance involves a lot of labor-intensive efforts. Consequently, network usage analysis is a very useful tool that allows network administrators to find patterns and anomalies. Whilst pattern detection provides administrators the ability to define the infrastructure, anomaly detection provides rich and valuable information for certain applications, for example, to avoid network saturation in urban areas during peak hours. 2023-05-25T04:32:41Z 2023-05-25T04:32:41Z 2023 Book https://link.springer.com/article/10.1007/s12652-023-04605-w https://dlib.phenikaa-uni.edu.vn/handle/PNK/8506 en application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic Orthogonal projection
spellingShingle Orthogonal projection
David, Cortes-Polo
Luis I., Jimenez
Mercedes E., Paoletti
Orthogonal projection for anomaly detection in networking datasets
description CC BY
format Book
author David, Cortes-Polo
Luis I., Jimenez
Mercedes E., Paoletti
author_facet David, Cortes-Polo
Luis I., Jimenez
Mercedes E., Paoletti
author_sort David, Cortes-Polo
title Orthogonal projection for anomaly detection in networking datasets
title_short Orthogonal projection for anomaly detection in networking datasets
title_full Orthogonal projection for anomaly detection in networking datasets
title_fullStr Orthogonal projection for anomaly detection in networking datasets
title_full_unstemmed Orthogonal projection for anomaly detection in networking datasets
title_sort orthogonal projection for anomaly detection in networking datasets
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1007/s12652-023-04605-w
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8506
_version_ 1772331160709365760
score 8.891145

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