Orthogonal projection for anomaly detection in networking datasets
CC BY
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| Định dạng: | Sách |
| Ngôn ngữ: | English |
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Springer
2023
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| Truy cập trực tuyến: | https://link.springer.com/article/10.1007/s12652-023-04605-w https://dlib.phenikaa-uni.edu.vn/handle/PNK/8506 |
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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 |
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8.887836 |