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Web Robot Detection - Preprocessing Web Logfiles for Robot Detection

  • Christian Bomhardt
  • Wolfgang Gaul
  • Lars Schmidt-Thieme
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)

Abstract

Web usage mining has to face the problem that parts of the underlying logfiles are created by robots. While cooperative robots identify themselves and obey to the instructions of server owners not to access parts or all of the pages on the server, malignant robots may camouflage themselves and have to be detected by web robot scanning devices. We describe the methodology of robot detection and show that highly accurate tools can be applied to decide whether session data was generated by a robot or a human user.

Keywords

User Agent User Session Agent List Robot Agent Cooperative Robot 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin · Heidelberg 2005

Authors and Affiliations

  • Christian Bomhardt
    • 1
  • Wolfgang Gaul
    • 1
  • Lars Schmidt-Thieme
    • 2
  1. 1.Institut für Entscheidungstheorie und UnternehmensforschungUniversity of KarlsruheGermany
  2. 2.Institute for Computer ScienceUniversity of FreiburgGermany

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