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

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
Brossura
ISBN 10: 6206155765 ISBN 13: 9786206155768
Casa editrice: LAP LAMBERT Academic Publishing, 2023

Sinossi

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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Editore
LAP LAMBERT Academic Publishing
Data di pubblicazione
2023
Lingua
Inglese
ISBN 10 
6206155765
ISBN 13 
9786206155768
Rilegatura
Copertina flessibile
Numero di pagine
76
Contatto del produttore
non disponibile
Persona responsabile
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