Network Intrusion Awareness using Data Fusion and SVM Classification: A Study on Improving Cybersecurity through Integrated Analysis and Machine Learning Techniques - Couverture souple

Bhargava, Mr. Chandra Prakash; Yadav, Dr. Pradeep

 
9786206155768: Network Intrusion Awareness using Data Fusion and SVM Classification: A Study on Improving Cybersecurity through Integrated Analysis and Machine Learning Techniques
Couverture souple
ISBN 10 : 6206155765 ISBN 13 : 9786206155768
Editeur : LAP LAMBERT Academic Publishing, 2023

Synopsis

Network intrusion awareness is important factor for risk analysis of network security. In the recent decade different method and framework are available for intrusion detection and security alertness. A number of method based on knowledge discovery process and some framework based on neural network. These complete model take rule based decision for the generation of security alerts. In this dissertation we proposed a novel method for intrusion awareness using data fusion and SVM classification. The data fusion work on the biases of features gathering of occurrence. Support vector machine is super classifier of data. Now we used SVM for the detection of closed item of ruled based technique.

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Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2023
Langue
anglais
ISBN 10 
6206155765
ISBN 13 
9786206155768
Reliure
Broché
Nombre de pages
76
Coordonnées du fabricant
non disponible
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