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A Study on the Distribution Estimation of Personal Data Leak Incidents
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 Title & Authors
A Study on the Distribution Estimation of Personal Data Leak Incidents
Hwang, Yoon-hee; Yoo, Jinho;
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 Abstract
To find the pattern of personal data leak incidents and confirm which distribution is suitable for, this paper searched the personal data leak incidents reported by the media from 2011 to 2014. Based on result, this research estimated the statistical distribution using the `K-S Statistics` and tested the `Goodness-of-Fit`. As a result, the fact that in 95% significance level, the Poisson & Exponential distribution have high `Goodness-of-Fit` has been proven quantitatively and, this could find it for major personal data leak incidents to occur 12 times in a year on average. This study can be useful for organizations to predict a loss of personal data leak incidents and information security investments and furthermore, this study can be a data for requirements of the cyber-insurance.
 Keywords
The Date of Personal Data Leak Incidents;Cumulative Distribution Function(CDF);Optimal Distribution Estimation;
 Language
Korean
 Cited by
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