Name: Anomaly Detection System for Network Traffic using Data Mining
SKU: 57840779
Price: 2264.00 TWD
Availability: InStock
Author: Sharma, Ruby ; Chaurasia, Sandeep
ISBN: 9786203305234

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Anomaly Detection System for Network Traffic using Data Mining

Type

Physical Book

Author

Sandeep Chaurasia

Ruby Sharma

Publisher

LAP Lambert Academic Publishing

Language

English

Pages

144

Format

Paperback

Dimensions

22.9x15.2x0.9 cm

Weight

0.22 kg.

ISBN13

9786203305234

Synopsis "Anomaly Detection System for Network Traffic using Data Mining"

Anomaly detection using Density Maximization Fuzzy C-means Algorithm: The rationale for the anomaly detection system using density maximization approach to the fuzzy c-means clustering algorithm. The workflow of a proposed anomaly detection system with density maximization FCM algorithm. The framework of ensemble classifier-based anomaly detection - this approach of anomalous detection is based on the integration of multiple classifiers so that the weakness of one classifier can be compensated by the other classifier. The workflow of the proposed intrusion detection framework based on an ensemble classifier.

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Anomaly Detection System for Network Traffic using Data Mining - Sharma, Ruby ; Chaurasia, Sandeep

Synopsis "Anomaly Detection System for Network Traffic using Data Mining"

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