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A Study of Statistical Approach for Detection of Outliers in Network Traffic

Authors
김삼용윤주범박응기
Issue Date
Dec-2005
Publisher
한국데이터정보과학회
Keywords
Network Traffic; Outliers; Time Series Models
Citation
한국데이터정보과학회지, v.16, no.4, pp 979 - 987
Pages
9
Journal Title
한국데이터정보과학회지
Volume
16
Number
4
Start Page
979
End Page
987
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/29460
ISSN
1598-9402
Abstract
In this research we study conventional and new statistical methods to analyse and detect outliers in network traffic and we apply the nonlinear time series model to make better performance of detecting abnormal traffic rather the linear time series model to compare the performances of the two models.
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Kim, Sahm Yong
대학원 (통계데이터사이언스학과)
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