Hybrid Intrusion Detection

Name: Hybrid Intrusion Detection
Brand: LAP Lambert Academic Publishing
SKU: 9783659979217
Price: 268.13 RON
Availability: InStock

Clustering-Outlier and Incremental SVM

Autor: Roshan Chitrakar, Chuanhe Huang

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Legare: Carte broșată

Editura: LAP Lambert Academic Publishing

Disponibilitate: În depozitul extern

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268.13 lei

Newer intrusions are coming out every day with the all-way growth of the Internet. In this context,...

Informații despre carte

Autor

Roshan Chitrakar, Chuanhe Huang

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2016

Pagini

140

EAN

9783659979217

ISBN

365997921X

Enbook ID

15561460

Editura

LAP Lambert Academic Publishing

Greutate

225

Dimensiuni

150 x 220 x 8

Descriere completă

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.

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Hybrid Intrusion Detection

Clustering-Outlier and Incremental SVM

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