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Measuring Expert and Novice Performance Within Computer Security Incident Response Teams

机译：评估计算机安全事件响应团队中的专家和新手性能

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摘要

There is a great need for creating cohesive, expert cybersecurity incident response teams and training them effectively. This paper discusses new methodologies for measuring and understanding expert and novice differences within a cybersecurity environment to bolster training, selection, and teaming. This methodology for baselining and characterizing individuals and teams relies on relating eye tracking gaze patterns to psychological assessments, human-machine transaction monitoring, and electroencephalography data that are collected during participation in the game-based training platform Tracer FIRE. We discuss preliminary findings from two pilot studies using novice and professional teams.
机译：迫切需要组建有凝聚力的专家级网络安全事件响应团队并对其进行有效的培训。本文讨论了用于测量和理解网络安全环境中专家和新手差异的新方法，以加强培训，选择和团队合作。用于确定个人和团队特征的基准的这种方法依赖于将眼睛跟踪注视模式与在参与基于游戏的培训平台Tracer FIRE期间收集的心理评估，人机交易监控和脑电图数据相关联。我们讨论了使用新手和专业团队进行的两次试点研究的初步结果。

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