Detection and Classification Of Normal and Anomaly IP Packet

Language: English

Published by LAP LAMBERT Academic Publishing Mrz 2012, 2012

3847373161 / 9783847373162

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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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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.…

Seller Inventory # 9783847373162

Title
Detection and Classification Of Normal and Anomaly IP Packet
Author
Saima Munawar
Publisher
LAP LAMBERT Academic Publishing Mrz 2012
Publication year
2012
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3847373161
ISBN 13
9783847373162
Item weight
179 grams
Dimensions
220x150x7 mm

BuchWeltWeit Ludwig Meier e.K.

Bergisch Gladbach, Germany

5-star seller

AbeBooks seller since January 11, 2012

Shipping rates from Germany to U.S.A.

Item5 to 15 business days5 to 15 business days
First itemUS$ 26.08US$ 26.08
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BuchWeltWeit Ludwig Meier e.K.

Germany