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Anomaly Detection System for Network Traffic using Data Mining: Machine Learning Perspective - Softcover

Sharma, Ruby; Chaurasia, Sandeep

 
9786203305234: Anomaly Detection System for Network Traffic using Data Mining: Machine Learning Perspective
Softcover
ISBN 10: 6203305235 ISBN 13: 9786203305234
Verlag: LAP LAMBERT Academic Publishing, 2021

Inhaltsangabe

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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Über die Autorin bzw. den Autor

Dr. Ruby Sharma is working as an Associate Professor in the Institute of Information Technology & Management, Guru Gobind Singh Indraprastha University, New DelhiDr. Sandeep Chaurasia is working as a Professor in the Department of CSE, School of Computing & I.T. at Manipal University Jaipur.

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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2021
Sprache
Englisch
ISBN 10 
6203305235
ISBN 13 
9786203305234
Einband
Taschenbuch
Anzahl der Seiten
144
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
SIA OmniScriptum Publishing
customerservice@vdm-vsg.de

Brivibas gatve 197
Riga
1039
Lettland