Title:	GAM-APT: A SERIOUS GAME ATTRIBUTE TAXONOMY FOR ADVANCED PERSISTENT THREATS
Author(s):	Mathew Nicho
ISBN:	978-989-8704-24-5
Editors:	Hans Weghorn
Year:	2020
Edition:	Single
Keywords:	Phishing, Advanced Persistent Threats, Serious Games
Type:	Full
First Page:	61
Last Page:	68
Language:	English
Cover:
Full Contents:	click to dowload
Paper Abstract:	Serious games find immense applications in the domain of education, information systems and information security due to convenience of time, instant feedback, attractiveness and the ease of simulating novel and multiple attack scenarios. Initially created for military purposes, it emerged as a promising approach to self-train computer users in changing their profile from a 'weakest link' to a 'strong link' in the network chain. In this respect, training computer users on advanced persistent threats (APT) vectors which deploys simple social engineering yet complex technical methods to exploit internetworked computer user and subsequent vulnerabilities is a challenging task. While commercial and academic efforts in technical cyber security tools and models along with awareness and training has contributed to its abatement to some extent, the increase in successful attacks pose serious questions on the effectiveness of existing user awareness and training methods. While serious games and models have been proposed by researchers in cyber security domain, attributes for building a serious gaming model for APT is wanting in both academic and practitioner domains. In this respect, we propose a serious game taxonomy GAM-APT by integrating the serious gaming model components namely the 'player', 'game' and 'knowledge' dimensions with Gagne's nine events using the serious gaming taxonomy.
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