Data Mining, Knowledge Discovery in Databases:

Name: Data Mining, Knowledge Discovery in Databases:
Brand: LAP Lambert Academic Publishing
SKU: 9783659642425
Price: 239.5 RON
Availability: InStock

Hybrid Anomaly Detection Approach

Autor: Saad Gadal, Rania Mokhtar

Limbă:

Legare: Carte broșată

Editura: LAP Lambert Academic Publishing

Disponibilitate: În depozitul extern

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This Book discusses hybrid machine learning technique for network intrusion detection based on combi...

Informații despre carte

Autor

Saad Gadal, Rania Mokhtar

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2017

Pagini

EAN

9783659642425

Enbook ID

18375425

Editura

LAP Lambert Academic Publishing

Greutate

149

Dimensiuni

150 x 220 x 5

Descriere completă

This Book discusses hybrid machine learning technique for network intrusion detection based on combination of K-means clustering and Sequential Minimal Optimization classification. Intrusion is one of the main threats to the internet. Hence security issues had been big problem, so that various techniques and approaches have been presented to address the limitations of intrusion detection system such as low accuracy, high false alarm rate, and time consuming. The aim of this book is to introduce research chapters for hybrid approach that able to reduce the rate of false positive alarm, to improve the detection rate and detect zero-day attackers and to get high accuracy for classify intrusion. The NSL-KDD dataset has been used to evaluate the proposed technique. In order to improve classification performance, some steps have been taken on the dataset like feature selection. The classification has been performed by using (Sequential Minimal Optimization SMO + K-mean clustering). After training and testing the hybrid machine learning technique, the results have shown that the proposed technique has achieved a positive detection rate, reduce the false alarm rate and get high accuracy.

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Data Mining, Knowledge Discovery in Databases:

Hybrid Anomaly Detection Approach

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