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Snort-based Intrusion Detection System for Practical Computer Networks: Implementation and Comparative Study - Softcover
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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.
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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.
Biografía del autor
Imdadul 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/ Networking, previously employed with Concise as Lead Network Engineer. His professional certificates include CCNA, CCNP and WiSE
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Snort-based Intrusion Detection System for Practical Computer Networks
Verlag:
LAP LAMBERT Academic Publishing Feb 2017, 2017
ISBN 10: 3659693294
ISBN 13: 9783659693298
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783659693298
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Snort-based Intrusion Detection System for Practical Computer Networks
Verlag:
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3659693294
ISBN 13: 9783659693298
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Softcover
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Zustand: 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. Bestandsnummer des Verkäufers 151427904
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Snort-based Intrusion Detection System for Practical Computer Networks
Verlag:
LAP LAMBERT Academic Publishing Feb 2017, 2017
ISBN 10: 3659693294
ISBN 13: 9783659693298
Neu
Taschenbuch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783659693298
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Snort-based Intrusion Detection System for Practical Computer Networks : Implementation and Comparative Study
Verlag:
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3659693294
ISBN 13: 9783659693298
Neu
Taschenbuch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783659693298
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Snort-based Intrusion Detection System for Practical Computer Networks: Implementation and Comparative Study
Verlag:
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3659693294
ISBN 13: 9783659693298
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Paperback. Zustand: Brand New. 132 pages. 8.66x5.91x0.30 inches. In Stock. Bestandsnummer des Verkäufers 3659693294
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Snort-based Intrusion Detection System for Practical Computer Networks: Implementation and Comparative Study
Verlag:
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3659693294
ISBN 13: 9783659693298
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