SCIPS: A serious game using a guidance mechanic to scaffold effective training for cyber security

Stuart O'Connor, Salim Hasshu, James Bielby, Simon Colreavy-Donnelly, Stefan Kuhn, Fabio Caraffini, Richard Smith

Research output: Contribution to journalArticlepeer-review

Abstract

Training effective simulation scenarios presents numerous challenges from a pedagogical point of view. Through application of the Conceptual Framework for e-Learning and Training (COFELET) as a pattern for designing serious games, we propose the use of the Simulated Critical Infrastructure Protection Scenarios (SCIPS) platform as a prospective tool for supporting the process of providing effective cyber security training. The SCIPS platform is designed to run different scenarios, such as examples in financial forecasting and business infrastructures, with an initial scenario developed in collaboration with industrial partners focusing on an electricity generation plant. Focus groups from these sources were conducted to identify design and developmental considerations for the platform. As an extension from the COFELET framework, we propose an intelligence scaffolding practice as a guidance mechanic taking the form of an agent within the scenario. The agent represents a major innovation in the system and we envisage a deep learning-based augmentation to further adapt towards the behavioural aspects of learners.

Original languageEnglish
Pages (from-to)524-540
Number of pages17
JournalInformation Sciences
Volume580
DOIs
Publication statusPublished - Nov 2021

Keywords

  • Collaborative learning
  • Cooperative learning
  • Incident training
  • Serious games
  • Simulations

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