Auditory Display as a Tool for Teaching Network Intrusion Detection

Authors

  • Miguel Angel Garcia-Ruiz University of Colima, College of Telematics, Ave. Universidad 333, Colima, 28040, Mexico
  • Arthur Edwards University of Colima, College of Telematics, Ave. Universidad 333, Colima, 28040, Mexico
  • Miguel Vargas Martin University of Ontario Institute of Technology, Oshawa, Canada
  • Samir El Seoud

DOI:

https://doi.org/10.3991/ijet.v3i2.202

Keywords:

Computer Networks, Network Intrusion Detection, Human-Computer Interaction, Auditory Display

Abstract


Teaching network intrusion detection, or NID (the identification of violations of a security policy in a computer network) is a challenging task, because students need to analyze many data from network logs and in real time to identify patterns of network attacks, making these activities visually tiring. This paper describes an ongoing research concerned with designing and applying sounds that represent meaningful information in interfaces (sonification) to support teaching of NID. An usability test was conducted with engineering students. Natural sound effects (auditory icons) and musical sounds (earcons) were used to represent network attacks. A post-activity questionnaire showed that most students preferred auditory icons for analyzing NID, and all of them were very interested in the design and application of sonifications.

Author Biographies

Miguel Angel Garcia-Ruiz, University of Colima, College of Telematics, Ave. Universidad 333, Colima, 28040, Mexico

College of Telematics, Assistant Professor

Arthur Edwards, University of Colima, College of Telematics, Ave. Universidad 333, Colima, 28040, Mexico

College of Telematics, Assistant Professor

Miguel Vargas Martin, University of Ontario Institute of Technology, Oshawa, Canada

School of Business and IT, Assistant Professor

Samir El Seoud

PSUT

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Published

2007-12-11

How to Cite

Garcia-Ruiz, M. A., Edwards, A., Vargas Martin, M., & El Seoud, S. (2007). Auditory Display as a Tool for Teaching Network Intrusion Detection. International Journal of Emerging Technologies in Learning (iJET), 3(2), pp. 59–62. https://doi.org/10.3991/ijet.v3i2.202

Issue

Vol. 3 No. 2 (2008)

Section

Short Papers

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