一句话:提出并实现严肃游戏 Aurelius,用游戏化模拟让高管在网络安全投资与攻击响应中学习决策。
企业高管通常缺乏足够的网络安全专业知识,难以在业务决策中准确反映网络安全现状与需求,导致业务与安全目标割裂,并在企业情境中形成结构性漏洞。为缓解这一问题,论文提出面向高管的游戏化网络安全培训方案,并开发严肃游戏软件平台 Aurelius。玩家扮演高管,在模拟的日常网络安全投资决策与网络攻击事件中作出响应,系统将安全决策与业务指标关联,以整合业务与安全两方面的理解。游戏背后的算法采用复杂系统方法建模高管的体验。设计上,Aurelius 满足网络安全领域先进严肃游戏九项标准中的八项。
Executive managers are not all equipped with the cyber security expertise necessary to enable them to make business decisions that accurately represent the status and needs of the cyber security side of the business. Unfortunately, the lack of understanding between the business and cyber security domains contribute to structurally endorsed vulnerabilities within a business context, where either the business needs were considered without understanding the impact on cyber security, or alternatively, the cyber security needs were considered without fully understanding the impact this would have on the business strategy and financial stability. To combat this dilemma, a gamified approach to cyber security training for executives is proposed as a solution to not only minimise the realisation of cyber vulnerabilities within a business context, but also to improve business outcomes that are supported by cyber security measures. We developed a serious game software platform, Aurelius, to simulate an executive decision maker’s role in managing the everyday cyber security investment decisions, and linking that to business metrics to incorporate the business and cyber security understanding. Our game includes simulated cyber security attacks that would require the executive decision maker (the player) to respond appropriately. The algorithms underpinning our simulated cyber security game are a product of a complex systems approach, as this most accurately models an executive’s experience. In our design, we set up Aurelius to fulfil eight of the nine criteria specified for a state of the art serious game in the cyber security domain.
@inproceedings{paperbot7278,
title = {Simulating cyber security management: A gamified approach to executive decision making},
author = {Adam Tonkin and William Kosasih and Marthie Grobler and Mehwish Nasim},
booktitle = {ASE},
year = {2022},
doi = {10.1145/3551349.3561148}
}