I Know What You Did Last Summer: Network Monitoring using Interval Queries

Nikita Ivkin, Ran Ben Basat, Zaoxing Liu, Gil Einziger, Roy Friedman, Vladimir Braverman

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Modern telemetry systems require advanced analytic capabilities such as drill down queries. These queries can be used to detect the beginning and end of a network anomaly by efficiently refining the search space. We present the first integral solution that (i) enables multiple measurement tasks inside the same data structure, (ii) supports specifying the time frame of interest as part of its queries, and (iii) is sketch-based and thus space efficient. Namely, our approach allows the user to define both the measurement task (e.g., heavy hitters, entropy estimation, cardinality estimation) and the time frame of relevance (e.g., 5PM-6PM) at query time. Our approach provides accuracy guarantees and is the only space-efficient solution that offers such capabilities. Finally, we demonstrate how the algorithm can be used to accurately pinpoint the beginning of a realistic DDoS attack.

Original languageEnglish
Title of host publicationSIGMETRICS Performance 2020 - Abstracts of the 2020 SIGMETRICS/Performance Joint International Conference on Measurement and Modeling of Computer Systems
PublisherAssociation for Computing Machinery, Inc
Pages61-62
Number of pages2
ISBN (Electronic)9781450379854
DOIs
StatePublished - 8 Jun 2020
Event2020 SIGMETRICS/Performance Joint International Conference on Measurement and Modeling of Computer Systems, SIGMETRICS 2020 - Boston, United States
Duration: 8 Jun 202012 Jun 2020

Conference

Conference2020 SIGMETRICS/Performance Joint International Conference on Measurement and Modeling of Computer Systems, SIGMETRICS 2020
Country/TerritoryUnited States
CityBoston
Period8/06/2012/06/20

Keywords

  • attack time localization
  • heavy hitters
  • interval query
  • l2
  • sketch

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Networks and Communications
  • Computational Theory and Mathematics

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