Traffic Anomaly Detection (ePub)

Name: Traffic Anomaly Detection
Brand: Elsevier Science & Techn.
SKU: 71181739
Price: 57.95 EUR
Availability: OnlineOnly

(Sprache: Englisch)

Autoren: Antonio Cuadra-Sánchez , Javier Aracil

Schreiben Sie einen Kommentar zu "Traffic Anomaly Detection".

Traffic Anomaly Detection, Antonio Cuadra-Sánchez, Javier Aracil

Merken

Traffic Anomaly Detection presents an overview of traffic anomaly detection analysis, allowing you to monitor security aspects of multimedia services. The author's approach is based on the analysis of time aggregation adjacent periods of the traffic....

Mehr zum Inhalt Presse-Zitate Autorenporträt Video

sofort als Download lieferbar

Bestellnummer: 71181739

eBook (ePub) 57.95 €

Download bestellen

Verschenken

28 DeutschlandCard Punkte sammeln

Lastschrift, Kreditkarte, Paypal, Rechnung
Kostenloser tolino webreader

Produktdetails

Produktbeschreibung
Autorenporträt
eBook Hilfe
Biblio. Angaben / Produktdetails
Download-DRM Infos
Pressezitat

Produktinformationen zu „Traffic Anomaly Detection (ePub)“

Traffic Anomaly Detection presents an overview of traffic anomaly detection analysis, allowing you to monitor security aspects of multimedia services. The author's approach is based on the analysis of time aggregation adjacent periods of the traffic.

As traffic varies throughout the day, it is essential to consider the concrete traffic period in which the anomaly occurs. This book presents the algorithms proposed specifically for this analysis and an empirical comparative analysis of those methods and settle a new information theory based technique, named "typical day analysis".

A new information-theory based technique for traffic anomaly detection (typical day analysis)
Introductory chapters to anomaly detection methods including control charts, tests of goodness-of-fit Mutual Information
Contains comparative analysis of traffic anomaly detection methods

Autoren-Porträt von Antonio Cuadra-Sánchez, Javier Aracil

Antonio Cuadra-Sanchez is a Telecommunications Engineer (MSc) from the University of Cantabria (Spain). He also holds a Masters degree in Computing and communications from the University Autonoma of Madrid (Spain). He works as a research project manager and technology advisor for QoS and QoE in Indra. He has taught different courses of signalling protocols and networks (SS7, GSM, GPRS, UMTS, IMS and IPTV) in Telefonica R&D, Telefonica Spain and the Americas. He has published over 70 articles as much for the European organisms of regulation as for Telefonica Group, produced workshops and scientific and regulation book chapters, and has participated in lectures for different national and international conferences, including TeleManagement Forum, ETSI and IEEE.

He currently leads the Celtic NOTTS projectand co-leads the Customer Experience Management (CEM) Implementation Guide at the TeleManagement Forum.

eBook Hilfe

Informationen und Hilfe zu eBooks hier klicken!

Bibliographische Angaben

Autoren: Antonio Cuadra-Sánchez , Javier Aracil
2015, 70 Seiten, Englisch
Verlag: Elsevier Science & Techn.
ISBN-10: 0081008074
ISBN-13: 9780081008072
Erscheinungsdatum: 31.10.2015

Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.

eBook Informationen

Dateiformat: ePub
Größe: 2.51 MB
Mit Kopierschutz
Vorlesefunktion

Sprache:

Englisch

Kopierschutz

Dieses eBook können Sie uneingeschränkt auf allen Geräten der tolino Familie lesen. Zum Lesen auf sonstigen eReadern und am PC benötigen Sie eine Adobe ID.

Pressezitat

"...their focus is on the theoretical aspects of determining anomalous traffic...it’s bound to be of interest to those developing security solutions." --Network Security

Kommentar zu "Traffic Anomaly Detection"

Schreiben Sie einen Kommentar zu "Traffic Anomaly Detection".

Wie funktionieren Bewertungen?

0 Gebrauchte Artikel zu „Traffic Anomaly Detection“

Zustand	Preis	Porto	Zahlung	Verkäufer	Rating