TY - GEN
T1 - Best Security Measures to Reduce Cyber-Incident and Data Breach Risks
AU - Kikuchi, Hiroaki
AU - Yamada, Michihiro
AU - Ikegami, Kazuki
AU - Inui, Koji
N1 - Funding Information:
Acknowledgments. We thank the Japan Network Security Association for the cyber-security incident dataset. This work was supported by SPS KAKENHI, Grant Numbers JP16K03755 and JP18H04099.
Funding Information:
We thank the Japan Network Security Association for the cybersecurity incident dataset. This work was supported by SPS KAKENHI, Grant Numbers JP16K03755 and JP18H04099.
Publisher Copyright:
© 2022, Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - Corporations plan to adopt appropriate combinations of data privacy managements to mitigate the risk of data breach. Examples of such well-established measures include the certification of an information security management system, a periodic security auditing, and dedicated positions such as a Chief Information Officer (CIO). However, the effectiveness of introducing each of these measures to reduce the risk of data breach is unclear. To assess the effective risk reduction, this work combines the big data of cyber incidents with the attributes of corporations and computes the relative risk with respect to these security measures. Our analysis of five-year data from about 6,000 corporations reveals a negative effect for most measures. The results must be biased by industry characteristics associated with the risk of cyber incidents such as business style and company scale, which are known confounding factors. After investigating company attributes individually, we identify the significant confounding factors that represent obstacles to risk analysis. Using hypothesis testing and multiple logistic regression analysis, we adjust odds ratios for 17 security measures, social responsibilities, environmental conditions, and employment arrangements. The results confirm that an environmental auditing reduces the risk by one-third at a statistically significant level.
AB - Corporations plan to adopt appropriate combinations of data privacy managements to mitigate the risk of data breach. Examples of such well-established measures include the certification of an information security management system, a periodic security auditing, and dedicated positions such as a Chief Information Officer (CIO). However, the effectiveness of introducing each of these measures to reduce the risk of data breach is unclear. To assess the effective risk reduction, this work combines the big data of cyber incidents with the attributes of corporations and computes the relative risk with respect to these security measures. Our analysis of five-year data from about 6,000 corporations reveals a negative effect for most measures. The results must be biased by industry characteristics associated with the risk of cyber incidents such as business style and company scale, which are known confounding factors. After investigating company attributes individually, we identify the significant confounding factors that represent obstacles to risk analysis. Using hypothesis testing and multiple logistic regression analysis, we adjust odds ratios for 17 security measures, social responsibilities, environmental conditions, and employment arrangements. The results confirm that an environmental auditing reduces the risk by one-third at a statistically significant level.
UR - http://www.scopus.com/inward/record.url?scp=85124651112&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-93944-1_1
DO - 10.1007/978-3-030-93944-1_1
M3 - Conference contribution
AN - SCOPUS:85124651112
SN - 9783030939434
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 3
EP - 19
BT - Data Privacy Management, Cryptocurrencies and Blockchain Technology - ESORICS 2021 International Workshops, DPM 2021 and CBT 2021, Revised Selected Papers
A2 - Garcia-Alfaro, Joaquin
A2 - Muñoz-Tapia, Jose Luis
A2 - Navarro-Arribas, Guillermo
A2 - Soriano, Miguel
PB - Springer Science and Business Media Deutschland GmbH
T2 - 16th International Workshop on Data Privacy Management, DPM 2021, and 5th International Workshop on Cryptocurrencies and Blockchain Technology, CBT 2021 held in conjunction with ESORICS 2021
Y2 - 8 October 2021 through 8 October 2021
ER -