Teaching as a Collaborative Practice: Reframing Security Practitioners as Navigators

Patricia A.H. Williams, Lizzie Coles-Kemp

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

The need is growing for a workforce with both technical skills and the ability to navigate existing and emerging information security challenges. Practitioners can no longer depend upon process-driven approaches to people, processes and IT systems to manage information security. They need to be navigators of the entire environment to effectively integrate controls to protect information and technology. The research presented in this paper trialed an innovative tactile learning activity developed through the European Technology-supported Risk Estimation by Predictive Assessment of Socio-technical Security (TREsPASS) project with tertiary education students, designed to provide students with experience in real-world modelling of complex information security scenarios. The outcomes demonstrate that constructing such models in an educational setting are a means of encouraging exploration of the multiple dimensions of security. Such teaching may be a means of teaching social, organization and technical navigation skills necessary to integrate security controls in complex settings.

Original languageEnglish
Title of host publicationTransactions on Edutainment XV
EditorsZhigeng Pan, Adrian David Cheok, Wolfgang Müller, Mingmin Zhang, Abdennour El Rhalibi, Kashif Kifayat
Place of PublicationBerlin, Germany
PublisherSpringer-Verlag
Pages108-128
Number of pages21
ISBN (Electronic)978-3-662-59351-6
ISBN (Print)978-3-662-59350-9
DOIs
Publication statusPublished - 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11345 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Keywords

  • Collaborative learning
  • Information security
  • Security practitioner
  • TREsPASS
  • European Technology-supported Risk Estimation by Predictive Assessment of Socio-technical Security

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