Książka Network Centric Traffic Analysis Jieyan Fan

Network Centric Traffic Analysis

Network Centric Anomaly Detection and Network Centric Traffic Classification

Autor: Jieyan Fan
Język: Angielski
Oprawa: Miękka
Wydawca: VDM Verlag
Dostępność: Dostępna u dostawcy
Wysyłamy za 9-15 dni
212.10
To provide more reliable and secure Internet §service, Internet service providers have more and §mor...

Informacje o książce

Autor
Język
Angielski
Oprawa
Książka - Miękka
Data wydania
2008
strony
96
EAN
9783836492966
ISBN
3836492962
Enbook ID
06935805
Wydawca
Waga
141
Wymiary
152 x 229 x 5

Pełny opis

To provide more reliable and secure Internet §service, Internet service providers have more and §more interests in network centric traffic analysis. §This book considers this issue from two §perspectives, which are of ISP's most interest: 1) §network centric anomaly detection and 2) network §centric traffic classification.§§In our study on network centric anomaly detection, §we designed an edge router based framework to detect §anomaly in the first place they enter network; we §proposed the so-called two-way matching features, §which are effective indicators of network anomalies; §and we creatively considered spatial and temporal §correlation among edge routers at the same time. §§To tap the potential profits made by multimedia §services, ISPs are of much interest to detect voice §and video traffic. Yet, to our best knowledge no §existing approaches are available to separate §between voice and video. To solve the problem, we §creatively applied spectral analysis techniques to §extract regularities in multimedia traffic and used §minimum distance to subspace as classification §metric. Results demonstrate the effectiveness and §robustness of our approach.

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