Editore: LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3659693294 ISBN 13: 9783659693298
Lingua: Inglese
Da: Revaluation Books, Exeter, Regno Unito
EUR 88,46
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Aggiungi al carrelloPaperback. Condizione: Brand New. 132 pages. 8.66x5.91x0.30 inches. In Stock.
Editore: LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3659693294 ISBN 13: 9783659693298
Lingua: Inglese
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 163,82
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Aggiungi al carrellopaperback. Condizione: New. New. book.
Editore: Machinery Industry Press, 1991
ISBN 10: 711115701X ISBN 13: 9787111157014
Da: liu xing, Nanjing, JS, Cina
EUR 58,58
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Aggiungi al carrellopaperback. Condizione: New. Paperback. Pub Date: 2005 Pages: 257 in Publisher: Machinery Industry Press book introduces the intrusion detection system based on Snort-depth analysis. details of Snort practical application. installation. use and maintenance . 14 book chapters. describes the basis of intrusion detection. Intrusion Detection with Snort plan parsing Snort. install Snort Snort running foundation - the hardware and operating system. set up the server. create a sensor establish analysts console. other operating.
Editore: LAP LAMBERT Academic Publishing Feb 2017, 2017
ISBN 10: 3659693294 ISBN 13: 9783659693298
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 55,90
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A significant amount of research has been done to evaluate the performance of Network Intrusion Detection System (NIDS). Most of the works were performed in a moderate traffic condition. It is not worth enough to analyse the NIDS performance based on non-realistic traffic flow and under limited conditions. In this project, authors introduce some realistic off-the-shelf hardware specification for performance evaluation and network design of the NIDS. The main goal is to evaluate the performance of an open-source NIDS called Snort. Despite a number of research works on the same area, this research brings a unique performance evaluation for modern operating systems and networks. In particular, this project proposes a best performing NIDS by introducing a parallel NIDS using Snort processors with a centralised database for network security implementation. An improved performance for enhanced network traffic is realised and verified through a comparative study. The work should help shed some light on dealing with attackers in a variety of practical network models and should be especially useful to professionals working on Computer and Communications fields in both industry and academia. 132 pp. Englisch.
Editore: LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3659693294 ISBN 13: 9783659693298
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 46,18
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Karim ImdadulImdadul Karim is a Network Engineer at Arvato Bertelsmann. He achieved his MSc in Computer Networks with Distinction at Middlesex University in 2015 under supervision of Dr Q.-T. Vien. He has 10 years of experience in IT.
Editore: LAP LAMBERT Academic Publishing Feb 2017, 2017
ISBN 10: 3659693294 ISBN 13: 9783659693298
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 55,90
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -A significant amount of research has been done to evaluate the performance of Network Intrusion Detection System (NIDS). Most of the works were performed in a moderate traffic condition. It is not worth enough to analyse the NIDS performance based on non-realistic traffic flow and under limited conditions. In this project, authors introduce some realistic off-the-shelf hardware specification for performance evaluation and network design of the NIDS. The main goal is to evaluate the performance of an open-source NIDS called Snort. Despite a number of research works on the same area, this research brings a unique performance evaluation for modern operating systems and networks. In particular, this project proposes a best performing NIDS by introducing a parallel NIDS using Snort processors with a centralised database for network security implementation. An improved performance for enhanced network traffic is realised and verified through a comparative study. The work should help shed some light on dealing with attackers in a variety of practical network models and should be especially useful to professionals working on Computer and Communications fields in both industry and academia.Books on Demand GmbH, Überseering 33, 22297 Hamburg 132 pp. Englisch.
Editore: LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3659693294 ISBN 13: 9783659693298
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 55,90
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A significant amount of research has been done to evaluate the performance of Network Intrusion Detection System (NIDS). Most of the works were performed in a moderate traffic condition. It is not worth enough to analyse the NIDS performance based on non-realistic traffic flow and under limited conditions. In this project, authors introduce some realistic off-the-shelf hardware specification for performance evaluation and network design of the NIDS. The main goal is to evaluate the performance of an open-source NIDS called Snort. Despite a number of research works on the same area, this research brings a unique performance evaluation for modern operating systems and networks. In particular, this project proposes a best performing NIDS by introducing a parallel NIDS using Snort processors with a centralised database for network security implementation. An improved performance for enhanced network traffic is realised and verified through a comparative study. The work should help shed some light on dealing with attackers in a variety of practical network models and should be especially useful to professionals working on Computer and Communications fields in both industry and academia.