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Network Intrusion Awareness using Data Fusion and SVM Classification
Pradeep Yadav
(Author)
·
Chandra Prakash Bhargava
(Author)
·
LAP Lambert Academic Publishing
· Paperback
Network Intrusion Awareness using Data Fusion and SVM Classification - Bhargava, Chandra Prakash ; Yadav, Pradeep
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Origin: U.S.A.
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Synopsis "Network Intrusion Awareness using Data Fusion and SVM Classification"
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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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
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