Title : ( Intrusion Detection by New Data Description Method )
Authors: Mohammad GhasemiGol , Reza Monsefi , Hadi Sadoghi Yazdi ,
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Abstract
This paper presents a new approach in data description for intrusion detection based on Support Vector Data Description (SVDD). The SVDD is a well-known kernel method which tries to fit a hypersphere around the target objects and more precise boundary is depending on using proper kernel functions. In the proposed method we find a minimal hyperellipse around the normal objects to describe them. The overall experiments show prominence of our proposed method in comparison with the standard SVDD.
Keywords
, One, class classification; Intrusion detection; Support vector data description
@inproceedings{paperid:1013419,
author = {GhasemiGol, Mohammad and Monsefi, Reza and Sadoghi Yazdi, Hadi},
title = {Intrusion Detection by New Data Description Method},
booktitle = {International Conference on Intelligent systems, Modelling and Simulation},
year = {2010},
location = {Liverpool, ENGLAND},
keywords = {One-class classification; Intrusion detection; Support vector data description},
}
%0 Conference Proceedings
%T Intrusion Detection by New Data Description Method
%A GhasemiGol, Mohammad
%A Monsefi, Reza
%A Sadoghi Yazdi, Hadi
%J International Conference on Intelligent systems, Modelling and Simulation
%D 2010
