Do you see what I hear: Experiments in multi-channel sound and 3D visualization for network monitoring?

Mark Edward Ballora, David L. Hall

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

9 Scopus citations

Abstract

Detection of intrusions is a continuing problem in network security. Due to the large volumes of data recorded in Web server logs, analysis is typically forensic, taking place only after a problem has occurred. This paper describes a novel method of representing Web log information through multi-channel sound, while simultaneously visualizing network activity using a 3-D immersive environment. We are exploring the detection of intrusion signatures and patterns, utilizing human aural and visual pattern recognition ability to detect intrusions as they occur. IP addresses and return codes are mapped to an informative and unobtrusive listening environment to act as a situational sound track of Web traffic. Web log data is parsed and formatted using Python, then read as a data array by the synthesis language SuperCollider [1], which renders it as a sonification. This can be done either for the study of pre-existing data sets or in monitoring Web traffic in real time. Components rendered aurally include IP address, geographical information, and server Return Codes. Users can interact with the data, speeding or slowing the speed of representation (for pre-existing data sets) or "mixing" sound components to optimize intelligibility for tracking suspicious activity.

Original languageEnglish (US)
Title of host publicationCyber Security, Situation Management, and Impact Assessment II; and Visual Analytics for Homeland Defense and Security II
DOIs
Publication statusPublished - Dec 1 2010
EventCyber Security, Situation Management, and Impact Assessment II; and Visual Analytics for Homeland Defense and Security II - Orlando, FL, United States
Duration: Apr 5 2010Apr 9 2010

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7709
ISSN (Print)0277-786X

Other

OtherCyber Security, Situation Management, and Impact Assessment II; and Visual Analytics for Homeland Defense and Security II
CountryUnited States
CityOrlando, FL
Period4/5/104/9/10

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All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Ballora, M. E., & Hall, D. L. (2010). Do you see what I hear: Experiments in multi-channel sound and 3D visualization for network monitoring? In Cyber Security, Situation Management, and Impact Assessment II; and Visual Analytics for Homeland Defense and Security II [77090J] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 7709). https://doi.org/10.1117/12.850319