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