# Mathematical Model to Estimate Loss by Cyber Incident in Japan

### Michihiro Yamada, Hiroaki Kikuchi, Naoki Matsuyama, Koji Inui

#### Abstract

There is a great demand from the viewpoint of security insurance to calculate the value of damage due to leakage of personal information. The Japan Network Security Association(JNSA) proposed a model to calculate the damage compensation amount. However, the coefficient was determined by experts’ subjective evaluations for which there is no basis. We propose a new mathematical model by applying multiple regression using cyber incident records and information such as enterprise size as explanatory variables and the value of extraordinary losses to a company as a target variable. We apply the damage model to 15,000 cyber incidents, compare the two models’ loss amounts, and consider the relationship between them.

Download#### Paper Citation

#### in Harvard Style

Yamada M., Kikuchi H., Matsuyama N. and Inui K. (2019). **Mathematical Model to Estimate Loss by Cyber Incident in Japan**.In *Proceedings of the 5th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP,* ISBN 978-989-758-359-9, pages 353-360. DOI: 10.5220/0007368503530360

#### in Bibtex Style

@conference{icissp19,

author={Michihiro Yamada and Hiroaki Kikuchi and Naoki Matsuyama and Koji Inui},

title={Mathematical Model to Estimate Loss by Cyber Incident in Japan},

booktitle={Proceedings of the 5th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP,},

year={2019},

pages={353-360},

publisher={SciTePress},

organization={INSTICC},

doi={10.5220/0007368503530360},

isbn={978-989-758-359-9},

}

#### in EndNote Style

TY - CONF

JO - Proceedings of the 5th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP,

TI - Mathematical Model to Estimate Loss by Cyber Incident in Japan

SN - 978-989-758-359-9

AU - Yamada M.

AU - Kikuchi H.

AU - Matsuyama N.

AU - Inui K.

PY - 2019

SP - 353

EP - 360

DO - 10.5220/0007368503530360