Multivariate Correlation Analysis: Denial-of-Service Attack Detection - Couverture souple

Name: Multivariate Correlation Analysis: Denial-of-Service Attack Detection
Author: Dumbare, Amol N.
ISBN: 9786202526678

Dumbare, Amol N.

9786202526678: Multivariate Correlation Analysis: Denial-of-Service Attack Detection

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ISBN 10 : 620252667X ISBN 13 : 9786202526678

Editeur : LAP LAMBERT Academic Publishing, 2020

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The DoS attack recognition framework introduced in this book used standards of MCA and abnormality-based detection methodology. They outfit our identification framework with abilities of exact portrayal for traffic practices and recognition of known and obscure attackers individually. A triangle territory procedure is created to upgrade and to accelerate the procedure of MCA. A factual standardization procedure is utilized to wipe out the inclination from the crude information. Proposed DoS identification framework is assessed utilizing KDD Cup 99 dataset and beats the best in class frameworks appeared for this system.

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�diteur: LAP LAMBERT Academic Publishing
Date d'�dition: 2020
Langue: anglais
ISBN 10: 620252667X
ISBN 13: 9786202526678
Reliure: Broch�
Nombre de pages: 100
Coordonn�es du fabricant: non disponible
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Multivariate Correlation Analysis

Amol N. Dumbare

Edit� par LAP LAMBERT Academic Publishing Apr 2020, 2020

ISBN 10 : 620252667X ISBN 13 : 9786202526678

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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The DoS attack recognition framework introduced in this book used standards of MCA and abnormality-based detection methodology. They outfit our identification framework with abilities of exact portrayal for traffic practices and recognition of known and obscure attackers individually. A triangle territory procedure is created to upgrade and to accelerate the procedure of MCA. A factual standardization procedure is utilized to wipe out the inclination from the crude information. Proposed DoS identification framework is assessed utilizing KDD Cup 99 dataset and beats the best in class frameworks appeared for this system. 100 pp. Englisch. N� de r�f. du vendeur 9786202526678

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Multivariate Correlation Analysis

Amol N. Dumbare

Edit� par LAP LAMBERT Academic Publishing, 2020

ISBN 10 : 620252667X ISBN 13 : 9786202526678

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Dumbare Amol N.Mr. Amol Narayan Dumbare was born in Pune, Maharashtra, India on 12th October 1989. He has completed B.E. in computer engineering from Pimpri Chinchwad College of Engineering, Pune, Maharashtra, India in 2012. He has a. N� de r�f. du vendeur 385946358

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Multivariate Correlation Analysis : Denial-of-Service Attack Detection

Amol N. Dumbare

Edit� par LAP LAMBERT Academic Publishing, 2020

ISBN 10 : 620252667X ISBN 13 : 9786202526678

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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The DoS attack recognition framework introduced in this book used standards of MCA and abnormality-based detection methodology. They outfit our identification framework with abilities of exact portrayal for traffic practices and recognition of known and obscure attackers individually. A triangle territory procedure is created to upgrade and to accelerate the procedure of MCA. A factual standardization procedure is utilized to wipe out the inclination from the crude information. Proposed DoS identification framework is assessed utilizing KDD Cup 99 dataset and beats the best in class frameworks appeared for this system. N� de r�f. du vendeur 9786202526678

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Multivariate Correlation Analysis

Amol N. Dumbare

Edit� par LAP LAMBERT Academic Publishing Apr 2020, 2020

ISBN 10 : 620252667X ISBN 13 : 9786202526678

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impression � la demande

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The DoS attack recognition framework introduced in this book used standards of MCA and abnormality-based detection methodology. They outfit our identification framework with abilities of exact portrayal for traffic practices and recognition of known and obscure attackers individually. A triangle territory procedure is created to upgrade and to accelerate the procedure of MCA. A factual standardization procedure is utilized to wipe out the inclination from the crude information. Proposed DoS identification framework is assessed utilizing KDD Cup 99 dataset and beats the best in class frameworks appeared for this system.VDM Verlag, Dudweiler Landstra�e 99, 66123 Saarbr�cken 100 pp. Englisch. N� de r�f. du vendeur 9786202526678

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