{"title":"Competency Models for Information Security and Cybersecurity Professionals: Analysis of Existing Work and a New Model","authors":"Daniel Bendler, Michael Felderer","doi":"https://dl.acm.org/doi/10.1145/3573205","DOIUrl":null,"url":null,"abstract":"<p>Competency models are widely adopted frameworks that are used to improve human resource functions and education. However, the characteristics of competency models related to the information security and cybersecurity domains are not well understood. To bridge this gap, this study investigates the current state of competency models related to the security domain through qualitative content analysis. Additionally, based on the competency model analysis, an evidence-based competency model is proposed. Examining the content of 27 models, we found that the models can benefit target groups in many different ways, ranging from policymaking to performance management. Owing to their many uses, competency models can arguably help to narrow the skills gap from which the profession is suffering. Nonetheless, the models have their shortcomings. First, the models do not cover all of the topics specified by the Cybersecurity Body of Knowledge (i.e., no model is complete). Second, by omitting social, personal, and methodological competencies, many models reduce the competency profile of a security expert to professional competencies. Addressing the limitations of previous work, the proposed competency model provides a holistic view of the competencies required by security professionals for job achievement and can potentially benefit both the education system and the labor market. To conclude, the implications of the competency model analysis and use cases of the proposed model are discussed.</p>","PeriodicalId":48764,"journal":{"name":"ACM Transactions on Computing Education","volume":"36 8","pages":""},"PeriodicalIF":3.2000,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Transactions on Computing Education","FirstCategoryId":"5","ListUrlMain":"https://doi.org/https://dl.acm.org/doi/10.1145/3573205","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EDUCATION, SCIENTIFIC DISCIPLINES","Score":null,"Total":0}
引用次数: 0
Abstract
Competency models are widely adopted frameworks that are used to improve human resource functions and education. However, the characteristics of competency models related to the information security and cybersecurity domains are not well understood. To bridge this gap, this study investigates the current state of competency models related to the security domain through qualitative content analysis. Additionally, based on the competency model analysis, an evidence-based competency model is proposed. Examining the content of 27 models, we found that the models can benefit target groups in many different ways, ranging from policymaking to performance management. Owing to their many uses, competency models can arguably help to narrow the skills gap from which the profession is suffering. Nonetheless, the models have their shortcomings. First, the models do not cover all of the topics specified by the Cybersecurity Body of Knowledge (i.e., no model is complete). Second, by omitting social, personal, and methodological competencies, many models reduce the competency profile of a security expert to professional competencies. Addressing the limitations of previous work, the proposed competency model provides a holistic view of the competencies required by security professionals for job achievement and can potentially benefit both the education system and the labor market. To conclude, the implications of the competency model analysis and use cases of the proposed model are discussed.
期刊介绍:
ACM Transactions on Computing Education (TOCE) (formerly named JERIC, Journal on Educational Resources in Computing) covers diverse aspects of computing education: traditional computer science, computer engineering, information technology, and informatics; emerging aspects of computing; and applications of computing to other disciplines. The common characteristics shared by these papers are a scholarly approach to teaching and learning, a broad appeal to educational practitioners, and a clear connection to student learning.