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Kniha Anomaly Detection System for Network Traffic using Data Mining RUBY SHARMA

Anomaly Detection System for Network Traffic using Data Mining

Autor: RUBY SHARMA
Jazyk: Angličtina
Vazba: Brožovaná
Vydavatel: LAP Lambert Academic Publishing
Dostupnost: Skladem u dodavatele
Odesíláme za 5-8 dnů
1 219 Kč
Anomaly detection using Density Maximization Fuzzy C-means Algorithm: The rationale for the anomaly...

Informace o knize

Autor
RUBY SHARMA
Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2021
Stránek
144
EAN
9786203305234
ISBN
6203305235
Enbook ID
36228678
Vydavatel
LAP Lambert Academic Publishing
Hmotnost
222
Rozměry
152 x 229 x 9

Kompletní popis

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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