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 language | English |
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Title of host publication | SIGMETRICS Performance 2020 - Abstracts of the 2020 SIGMETRICS/Performance Joint International Conference on Measurement and Modeling of Computer Systems |
Publisher | Association for Computing Machinery, Inc |
Pages | 61-62 |
Number of pages | 2 |
ISBN (Electronic) | 9781450379854 |
DOIs | |
State | Published - 8 Jun 2020 |
Event | 2020 SIGMETRICS/Performance Joint International Conference on Measurement and Modeling of Computer Systems, SIGMETRICS 2020 - Boston, United States Duration: 8 Jun 2020 → 12 Jun 2020 |
Conference
Conference | 2020 SIGMETRICS/Performance Joint International Conference on Measurement and Modeling of Computer Systems, SIGMETRICS 2020 |
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Country/Territory | United States |
City | Boston |
Period | 8/06/20 → 12/06/20 |
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