Traffic Anomaly Detection - Tapa dura

Cuadra-S�nchez, Antonio; Aracil, Javier

9781785480126: Traffic Anomaly Detection

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ISBN 10: 178548012X ISBN 13: 9781785480126

Editorial: ISTEPELS, 2015

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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".

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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.

Javier Aracil received the M.Sc. and Ph.D. degrees (Honors) from Technical University of Madrid in 1993 and 1995, both in Telecommunications Engineering. In 1995 he was awarded with a Fulbright scholarship and was appointed as a Postdoctoral Researcher of the Department of Electrical Engineering and Computer Sciences, University of California, Berkeley. In 1998 he was a research scholar at the Center for Advanced Telecommunications, Systems and Services of The University of Texas at Dallas. He has been an associate professor for University of Cantabria and Public University of Navarra and he is currently a full professor at Universidad Aut�noma de Madrid, Madrid, Spain. His research interest are in optical networks and performance evaluation of communication networks. He has authored more than 100 papers in international conferences and journals.

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EditorialISTEPELS
A�o de publicaci�n2015
ISBN 10 178548012X
ISBN 13 9781785480126
Encuadernaci�nTapa dura
IdiomaIngl�s
N�mero de p�ginas70
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Traffic Anomaly Detection

Cuadra-S�nchez Antonio

Publicado por Elsevier Science & Technology, 2015

ISBN 10: 178548012X ISBN 13: 9781785480126

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Condici�n: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: B�cher. N� de ref. del art�culo: 26244278/1

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Traffic Anomaly Detection

Antonio Cuadra-S�nchez

Publicado por Elsevier Science & Technology, ISTE Press - Elsevier, 2015

ISBN 10: 178548012X ISBN 13: 9781785480126

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Buch. Condici�n: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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'. Englisch. N� de ref. del art�culo: 9781785480126

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Traffic Anomaly Detection

Antonio Cuadra-S�nchez,Javier Aracil

Publicado por Elsevier 2015-11-14, 2015

ISBN 10: 178548012X ISBN 13: 9781785480126

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Traffic Anomaly Detection

Cuadra-Sanchez, Antonio/ Aracil, Javier

Publicado por Elsevier Science Ltd, 2015

ISBN 10: 178548012X ISBN 13: 9781785480126

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Hardcover. Condici�n: Brand New. 1st edition. 70 pages. 9.25x6.25x0.50 inches. In Stock. This item is printed on demand. N� de ref. del art�culo: __178548012X

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Traffic Anomaly Detection

Antonio Cuadra-S�nchez

Publicado por Elsevier Science & Technology, ISTE Press - Elsevier, 2015

ISBN 10: 178548012X ISBN 13: 9781785480126

Nuevo Tapa dura

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Buch. Condici�n: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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'. N� de ref. del art�culo: 9781785480126

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