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A Comparative Study of a Robust Estimate Method for Abnormal Traffic Detection

이상 트래픽 탐지를 위한 로버스트 추정 방법 비교 연구

  • Jung, Jae-Yoon (Department of Statistics, Chung-Ang University) ;
  • Kim, Sahm (Department of Statistics, Chung-Ang University)
  • Received : 20110200
  • Accepted : 20110300
  • Published : 2011.07.31

Abstract

This paper shows the performance evaluation of a robust estimator based on the GARCH model. We first introduce the method of a robust estimate in the GARCH model and the method of an outlier detection in the GARCH model. The results of the real internet traffic data show the out-performance of the robust estimator over the outlier detection method in the GARCH model. In addition, the method of the robust estimate is less complex than the method of the outlier detection method in the GARCH model.

본 연구는 이상치가 존재하는 자료에 적용될 수 있는 방법을 비교한 연구로서, 이분산 시계열 모형 하에서 로버스트 추정 방법의 효용성을 보이고자 한다. GARCH 모형하에서 이상치 탐지 기법과 GARCH 모형을기반한 로버스트 추정방법의 성능을 비교하였다. 실제 인터넷 트래픽 자료에 두 방법을 적용했을때, 로버스트 추정방법이 이상치 탐지 기법에 비해 덜 복잡하고 성능이 우수함을 입증하였다.

Keywords

References

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