Detection and localization of change-points in high-dimensional network traffic data
نویسندگان
چکیده
منابع مشابه
Detection and Localization of Change - Points in High - Dimensional Network Traffic Data
We propose a novel and efficient method, that we shall call TopRank in the following paper, for detecting change-points in high-dimensional data. This issue is of growing concern to the network security community since network anomalies such as Denial of Service (DoS) attacks lead to changes in Internet traffic. Our method consists of a data reduction stage based on record filtering, followed b...
متن کاملDistributed detection/localization of change-points in high-dimensional network traffic data
We propose a novel approach for distributed statistical detection of change-points in highvolume network traffic. We consider more specifically the task of detecting and identifying the targets of Distributed Denial of Service (DDoS) attacks. The proposed algorithm, called DTopRank, performs distributed network anomaly detection by aggregating the partial information gathered in a set of networ...
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ژورنال
عنوان ژورنال: The Annals of Applied Statistics
سال: 2009
ISSN: 1932-6157
DOI: 10.1214/08-aoas232