Abstract
We discuss an anomaly detection of a computer network in Big data era. The network has to support to deliver network traffic which is sent from many devices such as a large number of sensors and smartphones. The core network in Big data era is required to have a feature of anomaly detection for many devices. We propose a way to create traffic patterns from such kind of devices by using NMF (non-negative matrix factorization). The analysis enable to make clusters with the same traffic behavior and to show their traffic patterns immediately.
Translated title of the contribution | Application Analysis on Network Traffic from Many Sensors |
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Original language | Japanese |
Pages (from-to) | 37-40 |
Number of pages | 4 |
Journal | IEICE technical report |
Volume | 113 |
Issue number | 256 |
Publication status | Published - Oct 22 2013 |