Characterizing cybersecurity jobs: applying the cyber aptitude and talent assessment framework

Proceedings of the Symposium and Bootcamp on the Science of Security Pub Date : 2016-04-19 DOI:10.1145/2898375.2898394

Susan G. Campbell, Lelyn D. Saner, Michael F. Bunting

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引用次数: 5

Abstract

Characterizing what makes cybersecurity professions difficult involves several components, including specifying the cognitive and functional requirements for performing job-related tasks. Many frameworks that have been proposed are focused on functional requirements of cyber work roles, including the knowledge, skills, and abilities associated with them. In contrast, we have proposed a framework for classifying cybersecurity jobs according to the cognitive demands of each job and for matching applicants to jobs based on their aptitudes for key cognitive skills (e.g., responding to network activity in real-time). In this phase of research, we are investigating several cybersecurity jobs (such as operators vs. analysts), converting the high-level functional tasks of each job into elementary tasks, in order to determine what cognitive requirements distinguish the jobs. We will then examine how the models of cognitive demands by job can be used to inform the designs of aptitude tests for different kinds of jobs. In this poster, we will describe our framework in more detail and how it can be applied toward matching people with the jobs that fit them best.

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网络安全工作的特征:应用网络能力和人才评估框架

描述网络安全职业困难的原因涉及几个方面，包括指定执行工作相关任务的认知和功能要求。已经提出的许多框架都集中在网络工作角色的功能需求上，包括与之相关的知识、技能和能力。相比之下，我们提出了一个框架，根据每个工作的认知需求对网络安全工作进行分类，并根据申请人对关键认知技能的能力(例如，实时响应网络活动)将他们与工作相匹配。在这一阶段的研究中，我们正在调查几个网络安全工作(如操作员与分析师)，将每个工作的高级功能任务转换为基本任务，以确定哪些认知要求区分这些工作。然后，我们将研究工作认知需求模型如何用于不同类型工作的能力倾向测试设计。在这张海报中，我们将更详细地描述我们的框架，以及如何将其应用于将人们与最适合他们的工作相匹配。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings of the Symposium and Bootcamp on the Science of Security

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