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Switch-Based High Cardinality Node Detection

  • Anees Ullah*
  • , Pedro Reviriego
  • , Adeel Akram
  • , Malik Najmus Siraj
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

The detection of supernodes with high cardinality is of interest for network monitoring and security. Existing schemes for supernode detection rely on data structures that are independent of the switching functions. This means that for each packet that traverses the switch, both the switching table and the supernode detection structure have to be checked which requires significant memory bandwidth. This can create a bottleneck and reduce the speed of the switch, especially for software implementations. In this letter, a scheme that performs supernode detection as part of Ethernet switching and does not require additional memory accesses nor separated data structures is presented. The scheme has been implemented and compared with the existing methods. The results show that the proposed scheme can reliably identify supernodes while providing a speed up of more than 15% when compared with the existing solutions.

Original languageEnglish
Pages (from-to)190-193
Number of pages4
JournalIEEE Embedded Systems Letters
Volume13
Issue number4
DOIs
StatePublished - 1 Dec 2021
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2009-2012 IEEE.

Keywords

  • Anomaly detection
  • cardinality estimation
  • network monitoring
  • supernodes

ASJC Scopus subject areas

  • Control and Systems Engineering
  • General Computer Science

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