Intrusion Detection Using Neutrosophic Classifier

Abstract

Neutrosophic logic has been applied to network intrusion processing problems recently. A novel approach for intrusion thresholding is proposed by defining neutrosophic set in network domain. Neutrosophic is applied to network processing by defining a neutrosophic domain. An intruders region growing are noticed based on neutrosophic logic is implemented for system traffic. A new approach for network demonizing based on neutrosophic set can also be used. In this dissertation, a neutrosophic set is applied to the field of classifiers where an SVM is adopted as the example to validate the feasibility and effectiveness of neutrosophic logic. This brand new function of neutrosophic set consists of neutrosophic set that is integrated into a formulate SVM, and the concert of the achieve classifier N-SVM is evaluated under a network intrusion systems.