Sonification of web log data

Mark Ballora, Brian Panulla, Matthew Gourley, David L. Hall

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations


In the domain of network management and security, detection of intrusions is a persistent challenge. Due to the large volumes of data recorded in Web server logs, analysis of them is typically forensic, taking place only after a problem has occurred. Here we describe initial steps in rendering Web log data as a sonification. The goal is to determine whether recognizable patterns can be detected, either in real time, or as an after-the-fact analysis. A combination of Python and SuperCollider [1] are used to parse and sonify the data. Results of this work will become part of a collective pool of methodologies used in ongoing data rendering experiments carried out by Penn State's Center for Network Centric Cognition and Information Fusion (NC2IF) [2].

Original languageEnglish (US)
Title of host publicationInternational Computer Music Conference, ICMC 2010
PublisherInternational Computer Music Association
Number of pages4
ISBN (Electronic)0971319286
StatePublished - 2010
EventInternational Computer Music Conference, ICMC 2010 - New York City and Stony Brook, United States
Duration: Jun 1 2010Jun 5 2010

Publication series

NameInternational Computer Music Conference, ICMC 2010


OtherInternational Computer Music Conference, ICMC 2010
Country/TerritoryUnited States
CityNew York City and Stony Brook

All Science Journal Classification (ASJC) codes

  • Media Technology
  • Computer Science Applications
  • Music


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