Hybrid Intrusion Detection

Language: English

Published by LAP LAMBERT Academic Publishing Nov 2016, 2016

365997921X / 9783659979217

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This item is printed on demand - Print on Demand Titel. Neuware -Newer intrusions are coming out every day with the all-way growth of the Internet. In this context, this book proposes a hybrid approach of intrusion detection along with architecture. The proposed architecture is flexible enough to carry intrusion detection tasks either by using a single module or by using multiple modules. Two modules - (1) Clustering-Outlier detection followed by SVM classification and (2) Incremental SVM with Half-partition method, are proposed in the book. Firstly, this work develops the 'Clustering-Outlier Detection' algorithm that combines k-Medoids clustering and Outlier analysis. Secondly, this book introduces the Half-partition strategy and also designs 'Candidate Support Vector Selection' algorithm for incremental SVM. This book is intended for the people who are working in the field of Intrusion Detection and Data Mining. Researchers and Scholars who are interested in k-Means and k-Medoids clustering and SVM classification in particular, will find this book useful. Students who want to pursue their research work in the fields of Information Security and Data Mining may also consider this as a good reference.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 140 pp. Englisch.…

Seller Inventory # 9783659979217

Title
Hybrid Intrusion Detection
Author
Roshan Chitrakar
Publisher
LAP LAMBERT Academic Publishing Nov 2016
Publication year
2016
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
365997921X
ISBN 13
9783659979217
Item weight
227 grams
Dimensions
220x150x9 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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