Detection classification normal anomaly von munawar saima (5 Ergebnisse)

Autor: 
Titel: 
Mit der Detailsuche verfeinern

Optimieren Sie Ihre Suche

  • Bücher (5)

bis

Benutzerdefinierte Preisspanne (EUR)

bis

  • Sprache: Englisch

    Verlag: LAP LAMBERT Academic Publishing, 2012

    3847373161 / 9783847373162

    • Softcover

    Anbieter: preigu, Osnabrück, Deutschlandpreigu

    Verkäufer/-in mit 5 Sternen
    Verkäufer/-in kontaktieren

    Zustand: Neu

    EUR 43,40

    EUR 70,00 Versand 
    Versand von Deutschland nach USA

    Anzahl: 5 verfügbar

    Taschenbuch. Zustand: Neu. Detection and Classification Of Normal and Anomaly IP Packet | Network intrusion detection through Neural Network Hybrid Learning with Data Transformation Analysis | Saima Munawar | Taschenbuch | 108 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783847373162 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

  • Sprache: Englisch

    Verlag: LAP LAMBERT Academic Publishing, 2012

    3847373161 / 9783847373162

    • Softcover

    Anbieter: Mispah books, Redhill, SURRE, Vereinigtes KönigreichMispah books

    Verkäufer/-in mit 4 Sternen
    Verkäufer/-in kontaktieren

    Zustand: Gebraucht - Wie neu

    EUR 122,90

    EUR 29,54 Versand 
    Versand von Vereinigtes Königreich nach USA

    Anzahl: 1 verfügbar

    paperback. Zustand: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

  • Sprache: Englisch

    Verlag: LAP LAMBERT Academic Publishing Mrz 2012, 2012

    3847373161 / 9783847373162

    • Softcover
    • Print-on-Demand

    Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, DeutschlandBuchWeltWeit Ludwig Meier e.K.

    Verkäufer/-in mit 5 Sternen
    Verkäufer/-in kontaktieren

    Zustand: Neu

    EUR 49,00

    EUR 23,00 Versand 
    Versand von Deutschland nach USA

    Anzahl: 2 verfügbar

    Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Intrusion detection system is a vital part of computer security system commonly used for precaution and detection. It is built for classifier or descriptive or predictive model to proficient classification of normal behavior from abnormal behavior of IP packets. This book presents the solution regarding proper data transformation methods handling and importance of data analysis of complete data set which is apply on hybrid neural network approaches for used to cluster and classify normal and abnormal behavior to improve the accuracy of network based anomaly detection classifier. Because neural network classes only require the numerical form of data but IP connections or packets of network have some symbolic features which are difficult to handle without the proper data transformation analysis. For this reason, it got non redundant new NSL KDD CUP data set. The experimental results show that indicator variable is more effective as compared to the both conditional probabilities and arbitrary assignment method from measurement of accuracy and balance error rate. 108 pp. Englisch.…

  • Sprache: Englisch

    Verlag: LAP LAMBERT Academic Publishing, 2012

    3847373161 / 9783847373162

    • Softcover
    • Print-on-Demand

    Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH

    Verkäufer/-in mit 5 Sternen
    Verkäufer/-in kontaktieren

    Zustand: Neu

    EUR 54,71

    EUR 35,00 Versand 
    Versand von Deutschland nach USA

    Anzahl: 1 verfügbar

    Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Intrusion detection system is a vital part of computer security system commonly used for precaution and detection. It is built for classifier or descriptive or predictive model to proficient classification of normal behavior from abnormal behavior of IP packets. This book presents the solution regarding proper data transformation methods handling and importance of data analysis of complete data set which is apply on hybrid neural network approaches for used to cluster and classify normal and abnormal behavior to improve the accuracy of network based anomaly detection classifier. Because neural network classes only require the numerical form of data but IP connections or packets of network have some symbolic features which are difficult to handle without the proper data transformation analysis. For this reason, it got non redundant new NSL KDD CUP data set. The experimental results show that indicator variable is more effective as compared to the both conditional probabilities and arbitrary assignment method from measurement of accuracy and balance error rate.…

  • Sprache: Englisch

    Verlag: LAP LAMBERT Academic Publishing Mär 2012, 2012

    3847373161 / 9783847373162

    • Softcover
    • Print-on-Demand

    Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschlandbuchversandmimpf2000

    Verkäufer/-in mit 5 Sternen
    Verkäufer/-in kontaktieren

    Zustand: Neu

    EUR 49,00

    EUR 60,00 Versand 
    Versand von Deutschland nach USA

    Anzahl: 1 verfügbar

    Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Intrusion detection system is a vital part of computer security system commonly used for precaution and detection. It is built for classifier or descriptive or predictive model to proficient classification of normal behavior from abnormal behavior of IP packets. This book presents the solution regarding proper data transformation methods handling and importance of data analysis of complete data set which is apply on hybrid neural network approaches for used to cluster and classify normal and abnormal behavior to improve the accuracy of network based anomaly detection classifier. Because neural network classes only require the numerical form of data but IP connections or packets of network have some symbolic features which are difficult to handle without the proper data transformation analysis. For this reason, it got non redundant new NSL KDD CUP data set. The experimental results show that indicator variable is more effective as compared to the both conditional probabilities and arbitrary assignment method from measurement of accuracy and balance error rate.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 108 pp. Englisch.…