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Activity Number: 15 - Networks, Multivariate Analysis, and Time Series
Type: Topic Contributed
Date/Time: Sunday, July 30, 2017 : 2:00 PM to 3:50 PM
Sponsor: Royal Statistical Society
Abstract #322988
Title: A Framework for the Online Monitoring and Analysis of Multi-Gigabit Network Streams
Author(s): Stilian Stoev* and Michalis Kallitsis and George Michailidis and Shrijita Bhattacharya and Zheng Gao
Companies: University of Michigan and Merit Network and University of Florida and University of Michigan and University of Michigan
Keywords: hashing ; data stream ; extremes ; heavy tails ; network monitoring ; online algorithms

We shall describe a recently developed platform for collecting meta-data on multi-10gigabit network streams. The AMON (All Packet MONitoring) platform utilizes efficient hashing techniques to build statistical summaries of high-volume and high-velocity data streams observed by wide-area network Internet service providers. Online statistical algorithms are developed for the detection of changes in network structure and connectivity associated with cyber-attacks such as distributed denial of service (DDoS) attacks. The methodology is illustrated with real data from Merit Network -- a large Internet service provider in Michigan. We sketch some future challenges on the probabilistic modeling and statistical inference for such types of data.

Authors who are presenting talks have a * after their name.

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