SCIPS: A Serious Game Using A Guidance Mechanic To Scaffold Effective Training For Cyber Security
| dc.cclicence | CC-BY-NC-ND | en |
| dc.contributor.author | O'Connor, Stuart | |
| dc.contributor.author | Hasshu, Salim | |
| dc.contributor.author | Bielby, James | |
| dc.contributor.author | Colreavy-Donnelly, Simon | |
| dc.contributor.author | Kuhn, Stefan | |
| dc.contributor.author | Caraffini, Fabio | |
| dc.contributor.author | Smith, Richard | |
| dc.date.acceptance | 2021-08-29 | |
| dc.date.accessioned | 2021-09-01T13:30:37Z | |
| dc.date.available | 2021-09-01T13:30:37Z | |
| dc.date.issued | 2021-09-01 | |
| dc.description | The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link. | en |
| dc.description.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. | en |
| dc.funder | No external funder | en |
| dc.identifier.citation | O’Connor, S., Hasshu, S., Bielby, J., Colreavy-Donnelly, S., Kuhn, S., Caraffini, F., Smith, R. (2021) SCIPS: A Serious Game Using A Guidance Mechanic To Scaffold Effective Training For Cyber Security. Information Sciences, 580, pp. 524-540 | en |
| dc.identifier.doi | https://doi.org/10.1016/j.ins.2021.08.098 | |
| dc.identifier.issn | 0020-0255 | |
| dc.identifier.uri | https://dora.dmu.ac.uk/handle/2086/21224 | |
| dc.language.iso | en | en |
| dc.peerreviewed | Yes | en |
| dc.publisher | Elsevier | en |
| dc.researchinstitute | Cyber Technology Institute (CTI) | en |
| dc.researchinstitute | Institute of Artificial Intelligence (IAI) | |
| dc.subject | Serious Games | en |
| dc.subject | Simulations | en |
| dc.subject | Incident training | en |
| dc.subject | Cooperative learning | en |
| dc.subject | Collaborative learning | en |
| dc.title | SCIPS: A Serious Game Using A Guidance Mechanic To Scaffold Effective Training For Cyber Security | en |
| dc.type | Article | en |