Optimization of Information Security Investment Portfolios Using a Genetic Algorithm 


Vol. 43,  No. 2, pp. 439-451, Feb.  2018
10.7840/kics.2018.43.2.439


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  Abstract

We propose an optimization method of the investment cost for countermeasure portfolios in information security using a genetic algorithm. With the rate of information security breaches, the expected damage cost by security breaches, and the rates of countermeasures filtering security breaches, we formulate the selection problem of an optimal countermeasure portfolio for information security as a mathematical optimization problem based on the investment cost and develop a solution procedure based on a genetic algorithm. In addition, we present numerical examples, considering various scenarios in information security.

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  Cite this article

[IEEE Style]

K. Kim, W. S. Yang, T. Kim, "Optimization of Information Security Investment Portfolios Using a Genetic Algorithm," The Journal of Korean Institute of Communications and Information Sciences, vol. 43, no. 2, pp. 439-451, 2018. DOI: 10.7840/kics.2018.43.2.439.

[ACM Style]

Kilhwan Kim, Won Seok Yang, and Tae-Sung Kim. 2018. Optimization of Information Security Investment Portfolios Using a Genetic Algorithm. The Journal of Korean Institute of Communications and Information Sciences, 43, 2, (2018), 439-451. DOI: 10.7840/kics.2018.43.2.439.

[KICS Style]

Kilhwan Kim, Won Seok Yang, Tae-Sung Kim, "Optimization of Information Security Investment Portfolios Using a Genetic Algorithm," The Journal of Korean Institute of Communications and Information Sciences, vol. 43, no. 2, pp. 439-451, 2. 2018. (https://doi.org/10.7840/kics.2018.43.2.439)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880