Auditory Display as a Tool for Teaching Network Intrusion Detection

Miguel Angel Garcia-Ruiz, Arthur Edwards, Miguel Vargas Martin, Samir El Seoud

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.

Keywords


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

Full Text:

PDF


Copyright (c) 2017 Miguel Angel Garcia-Ruiz, Arthur Edwards, Miguel Vargas Martin, Samir El Seoud


International Journal of Emerging Technologies in Learning. ISSN: 1863-0383
Creative Commons License SPARC Europe Seal
Indexing:
Web of Science ESCI logo Engineering Information logo INSPEC logo DBLP logo ELSEVIER Scopus logo EDiTLib logo EBSCO logo Ulrich's logo Google Scholar logo Microsoft® Academic SearchDOAJ logo