网络联盟和网络安全游戏:游戏化评分模型

Jason Diakoumakos, Evangelos Chaskos, N. Kolokotronis, George Lepouras
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引用次数: 7

摘要

专业培训对于组织成功保护其资产免受网络攻击至关重要。成功地发现和预防安全事件要求人员不仅要了解潜在的威胁,而且其安全专业知识远远超出必要的背景知识。为了填补有能力的安全专业人员的空白,设计了提供现实培训环境和场景的平台,称为网络范围。在公共平台下列出的多个网络范围可以模拟更复杂的环境,称为网络范围联合。安全教育方法通常实施游戏化机制,以增加受训者的参与和最大化培训过程的结果。评分是游戏化计划的一个组成部分,允许学员和培训师监控前者的表现和进步。在本文中,提出了一种新的评分模型,该模型被设计为与信息源无关:一个CR或作为联邦环境一部分的各种不同CR。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cyber-Range Federation and Cyber-Security Games: A Gamification Scoring Model
Professional training is essential for organizations to successfully defend their assets against cyber-attacks. Successful detection and prevention of security incidents demands that personnel is not just aware about the potential threats, but its security expertise goes far beyond the necessary background knowledge. To fill-in the gap for competent security professionals, platforms offering realistic training environments and scenarios are designed that are referred to as cyber-ranges. Multiple cyber-ranges listed under a common platform can simulate more complex environments, referred as cyber-range federations. Security education approaches often implement gamification mechanics to increase trainees’ engagement and maximize the outcome of the training process. Scoring is an integral part of a gamification scheme, allowing both the trainee and the trainer to monitor the former’s performance and progress. In this article, a novel scoring model is presented that is designed to be agnostic with respect to the source of information: either a CR or a variety of different CRs being part of a federated environment.
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