
Sketch‐guided filtering support for detecting superspreaders in high‐speed networks
Author(s) -
Wellem T.,
Lai Y.K.
Publication year - 2016
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
ISSN - 1350-911X
DOI - 10.1049/el.2015.3748
Subject(s) - computer science , sketch , process (computing) , scheme (mathematics) , filter (signal processing) , real time computing , identification (biology) , throughput , gigabit , computer hardware , electronic engineering , algorithm , engineering , computer vision , telecommunications , mathematical analysis , botany , mathematics , wireless , biology , operating system
A sketch‐guided filtering scheme for assisting superspreader detection in the measurement of high‐speed network traffic is proposed. The scheme comprises of an array of linear‐counting sketches that rapidly eliminates flows with potentially low fan‐out during a measurement interval. Based on the results of simulations obtained using real‐world network traces, the filter can eliminate up to 90% of the flows of non‐superspreader sources and improve the accuracy of superspreader identification. Furthermore, the proposed scheme has a smaller fan‐out estimation error and consumes less memory than previously developed approaches. The hardware implementation can process network traffic at a throughput of 27 Gbit/s.