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
Link To Document :
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