A Novel Approach for Intrusion Detection
Research in the field of computer and network science demands
for tools and methodology to test their security effectively.
Intrusion Detection System is used to perform the same with a
fact that an intruder’s behavior will be noticeably different from
that of a legitimate user and would exploit security vulnerabilities.
Proposed here is a novel intrusion detection approach with the
application of Generalized Regression Neural Network and the
MIT’s KDD Cup 99 dataset. The result clearly demonstrates an
efficient way for intrusion feature selection and detection and
promises a good scope for further research.
Keywords: Intrusion Detection System, Networking Attacks, Intrusion Detection, Generalized Regression Neural Network
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