Intrusion Detection System Using Kernel FCM Clustering and Bayesian Neural Network

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Provided by: International Journal of Computer Science and Information Technology & Security (IJCSITS)
Topic: Big Data
Format: PDF
Data safekeeping and security has been a key concern in the rapidly growing computer systems and networks. One of the recent methods for identifying any abnormal activities staging in a computer system is carried out by Intrusion Detection Systems (IDS) and it forms a significant portion of system defence against attacks. Various methods based on Intrusion Detection Systems have been proposed in recent years. In this paper, Intrusion Detection System (IDS) based on Fuzzy Bisector-Kernel Fuzzy C-Means (FB-KFCM) clustering technique and Bayesian Neural Network is proposed. The system contains two steps namely clustering step and classification step.
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