Implementation of Secured Network Based Intrusion Detection System Using SVM Algorithm

This paper encompasses an outline that hardens the distinctive executions and proposals of Intrusion Detection. NB is one of the classification methods applied in intrusion detection system which is an effective probabilistic classifier employing the Bayes’ theorem with naive feature independence assumptions. Each data transmitted is captured and analyzed for malicious content, reveal the layers in which the impact of the malicious data is visible. Furthermore, as a preventive measure the data transmission from corrupt host is blocked. NB classifier is that it only requires a small amount of training data to estimate the parameters of a classification model. Ability to incorporate flow correlation information in to the classification process. IDNB (Intrusion Detection using Naive Bayes) demonstrates higher malicious behavior detection rates in certain circumstances while does not greatly affect the network performances.