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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  • EP ID EP152058
  • DOI -
  • Views 106
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How To Cite

Mrs. SumathyMuruganAsst. Prof (2014).  Detecting Anomaly IDS in Network using Bayesian Network. IOSR Journals (IOSR Journal of Computer Engineering), 16(1), 1-7. https://europub.co.uk/articles/-A-152058