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Sinopsis
Information security becomes a major issue in the recent decade due to wide spread of the network and Internet that consider as insecure transmission media, from this point of view security participants focus their effort to provide best method implementing information security, one of these methods is Intrusion Detection System (IDS). IDS is a software with the functions of detecting, identifying and responding to unauthorized or abnormal activities on a target system. The IDS is used by organizations to provide security for the valuable information resources (information assets). Unfortunately IDS has some errors that badly effects on the organization security, in this work, Artificial Neural Network (ANN) is used for implementing different types of intrusion detection system and improving its performance by decreasing the errors and increasing the classification and detection rates.
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Reseña del editor
Information security becomes a major issue in the recent decade due to wide spread of the network and Internet that consider as insecure transmission media, from this point of view security participants focus their effort to provide best method implementing information security, one of these methods is Intrusion Detection System (IDS). IDS is a software with the functions of detecting, identifying and responding to unauthorized or abnormal activities on a target system. The IDS is used by organizations to provide security for the valuable information resources (information assets). Unfortunately IDS has some errors that badly effects on the organization security, in this work, Artificial Neural Network (ANN) is used for implementing different types of intrusion detection system and improving its performance by decreasing the errors and increasing the classification and detection rates.
Biografía del autor
Fadwa Abdul-Bari Awn, Masters degree in Information Technology, University of Aden, 2014; Bachelors degree in Information Technology, University of Aden, 2007. Experienced college instructor at the University of Aden, Faculty of Engineering, IT department.
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- EditorialLAP LAMBERT Academic Publishing
- Año de publicación2016
- ISBN 10 3659888311
- ISBN 13 9783659888311
- EncuadernaciónTapa blanda
- IdiomaInglés
- Número de páginas108
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Performance Study of Intrusion Detection Systems
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LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659888311
ISBN 13: 9783659888311
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Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Awn FadwaFadwa Abdul-Bari Awn, Masters degree in Information Technology, University of Aden, 2014 Bachelors degree in Information Technology, University of Aden, 2007. Experienced college instructor at the University of Aden, Facul. Nº de ref. del artículo: 158963390
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Performance Study of Intrusion Detection Systems
Publicado por
LAP LAMBERT Academic Publishing Jun 2016, 2016
ISBN 10: 3659888311
ISBN 13: 9783659888311
Nuevo
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Information security becomes a major issue in the recent decade due to wide spread of the network and Internet that consider as insecure transmission media, from this point of view security participants focus their effort to provide best method implementing information security, one of these methods is Intrusion Detection System (IDS). IDS is a software with the functions of detecting, identifying and responding to unauthorized or abnormal activities on a target system. The IDS is used by organizations to provide security for the valuable information resources (information assets). Unfortunately IDS has some errors that badly effects on the organization security, in this work, Artificial Neural Network (ANN) is used for implementing different types of intrusion detection system and improving its performance by decreasing the errors and increasing the classification and detection rates. 108 pp. Englisch. Nº de ref. del artículo: 9783659888311
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Performance Study of Intrusion Detection Systems
Publicado por
LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659888311
ISBN 13: 9783659888311
Nuevo
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Information security becomes a major issue in the recent decade due to wide spread of the network and Internet that consider as insecure transmission media, from this point of view security participants focus their effort to provide best method implementing information security, one of these methods is Intrusion Detection System (IDS). IDS is a software with the functions of detecting, identifying and responding to unauthorized or abnormal activities on a target system. The IDS is used by organizations to provide security for the valuable information resources (information assets). Unfortunately IDS has some errors that badly effects on the organization security, in this work, Artificial Neural Network (ANN) is used for implementing different types of intrusion detection system and improving its performance by decreasing the errors and increasing the classification and detection rates. Nº de ref. del artículo: 9783659888311
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Performance Study of Intrusion Detection Systems
Publicado por
LAP LAMBERT Academic Publishing Jun 2016, 2016
ISBN 10: 3659888311
ISBN 13: 9783659888311
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Taschenbuch. Condición: Neu. Neuware -Information security becomes a major issue in the recent decade due to wide spread of the network and Internet that consider as insecure transmission media, from this point of view security participants focus their effort to provide best method implementing information security, one of these methods is Intrusion Detection System (IDS). IDS is a software with the functions of detecting, identifying and responding to unauthorized or abnormal activities on a target system. The IDS is used by organizations to provide security for the valuable information resources (information assets). Unfortunately IDS has some errors that badly effects on the organization security, in this work, Artificial Neural Network (ANN) is used for implementing different types of intrusion detection system and improving its performance by decreasing the errors and increasing the classification and detection rates.Books on Demand GmbH, Überseering 33, 22297 Hamburg 108 pp. Englisch. Nº de ref. del artículo: 9783659888311
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Performance Study of Intrusion Detection Systems
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LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659888311
ISBN 13: 9783659888311
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Paperback. Condición: Brand New. 108 pages. 8.66x5.91x0.25 inches. In Stock. Nº de ref. del artículo: 3659888311
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