Detecting Anomaly IDS in Network using Bayesian Network
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 1
Abstract
In a hostile area of network, it is a severe challenge to protect sink, developing flexible and adaptive security oriented approaches against malicious activities. Intrusion detection is the act of detecting, monitoring unwanted activity and traffic on a network or a device, which violates security policy. This paper begins with a review of the most well-known anomaly based intrusion detection techniques. AIDS is a system for detecting computer intrusions, type of misuse that falls out of normal operation by monitoring system activity and classifying it as either normal or anomalous .It is based on Machine Learning AIDS schemes model that allows the attacks analyzed to be categorized and find probabilistic relationships among attacks using Bayesian network.
Authors and Affiliations
Mrs. SumathyMuruganAsst. Prof
Keywords
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