• DocumentCode
    1912265
  • Title

    Joint pdf Plots: Telling Beetles from Ants in Network Traffic Measurement by Cross-Domain Analysis

  • Author

    Giorgi, G. ; Narduzzi, C.

  • Author_Institution
    Dipt. di Ing. dell´´Inf., Univ. di Padova, Padova
  • fYear
    2008
  • fDate
    12-15 May 2008
  • Firstpage
    1322
  • Lastpage
    1327
  • Abstract
    In this paper we propose a method for traffic analysis based on plots of joint probability density function. While still referring to traffic flow, we do not focus the attention on the behavior of packets or bytes within a single flow, but rather we collect global statistics about the amount of packets, bytes and flows during non-overlapping observation windows. Then the joint pdf between these traffic statistics is calculated and plotted in order to provide a very simple method of analysis. Considering the jpdf we illustrate how beetles (large flows with a low occurrence) can be easily separated from ants (small flows with a high rate of occurrence). This helps the development of accurate and parsimoniuos traffic models and can also directly identify some kind of network impairments such as port scans.
  • Keywords
    statistical analysis; telecommunication traffic; cross-domain analysis; global statistics; joint pdf plots; network impairments; network traffic measurement; port scans; probability density function; Electronic mail; Instrumentation and measurement; Mice; Monitoring; Probability density function; Quality of service; Statistical analysis; Statistics; Telecommunication traffic; Traffic control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference Proceedings, 2008. IMTC 2008. IEEE
  • Conference_Location
    Victoria, BC
  • ISSN
    1091-5281
  • Print_ISBN
    978-1-4244-1540-3
  • Electronic_ISBN
    1091-5281
  • Type

    conf

  • DOI
    10.1109/IMTC.2008.4547247
  • Filename
    4547247