DocumentCode
704411
Title
Cybersecurity investment optimization with risk: Insights for resource allocation
Author
Yueran Zhuo ; Solak, Senay
Author_Institution
Isenberg Sch. of Manage., Univ. of Massachusetts Amherst, Amherst, MA, USA
fYear
2015
fDate
3-5 March 2015
Firstpage
1
Lastpage
13
Abstract
Cybersecurity has become a key factor determining the success of business operations who relies on the functioning of information systems. Hence, the effecient investment on cybersecurity is an important financial and operaional decision. We propose a modeling framework that incorporates major components relevant to cybersecurity practice, and study the characteristics of optimal cybersecurity investment decisions for a firm, as well as how they vary under different risk approaches. A data-based analysis for major industries is performed, where we map the maximum potential loss of a firm with the optimal cybersecurity budget size and discover that the optimal budget size is independent of the mix of assets that a firm holds. In addition, we also conclude that firms in finance, energy, and technology sectors should invest more in detective technologies than preventive, as oppose to even split in most other industries. Moreover, the overall cybersecurity budgets for the former set of industries should be higher when compared with others.
Keywords
asset management; business data processing; information systems; investment; optimisation; resource allocation; risk management; security of data; assets; business operations success; cybersecurity investment optimization; data-based analysis; energy sectors; finance sectors; financial decision; firm; information systems; maximum potential loss; modeling framework; operaional decision; optimal cybersecurity budget size; optimal cybersecurity investment decisions; resource allocation; risk approaches; technology sectors; Computer security; Industries; Investment; Joints; Loss measurement; Portfolios; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Engineering and Operations Management (IEOM), 2015 International Conference on
Conference_Location
Dubai
Print_ISBN
978-1-4799-6064-4
Type
conf
DOI
10.1109/IEOM.2015.7093765
Filename
7093765
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