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Integrating cost–benefit analysis into the NIST Cybersecurity Framework via the Gordon–Loeb Model
Author(s) -
Lawrence A. Gordon,
Martin P. Loeb,
Lei Zhou
Publication year - 2020
Publication title -
journal of cybersecurity
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.438
H-Index - 16
ISSN - 2057-2093
DOI - 10.1093/cybsec/tyaa005
Subject(s) - nist , computer security , computer science , risk analysis (engineering) , incentive , information systems security , risk management , engineering management , information system , business , engineering , management information systems , finance , economics , natural language processing , electrical engineering , microeconomics
The National Institute for Standards and Technology (NIST) Cybersecurity Framework has rapidly become a widely accepted approach to facilitating cybersecurity risk management within organizations. An insightful aspect of the NIST Cybersecurity Framework is its explicit recognition that the activities associated with managing cybersecurity risk are organization specific. The NIST Framework also recognizes that organizations should evaluate their cybersecurity risk management on a cost–benefit basis. The NIST Framework, however, does not provide guidance on how to carry out such a cost–benefit analysis. This article provides an approach for integrating cost–benefit analysis into the NIST Cybersecurity Framework. The Gordon–Loeb (GL) Model for cybersecurity investments is proposed as a basis for deriving a cost-effective level of spending on cybersecurity activities and for selecting the appropriate NIST Implementation Tier level. The analysis shows that the GL Model provides a logical approach to use when considering the cost–benefit aspects of cybersecurity investments during an organization’s process of selecting the most appropriate NIST Implementation Tier level. In addition, the cost–benefit approach provided in this article helps to identify conditions under which there is an incentive to move to a higher NIST Implementation Tier.

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