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- W3211432892 abstract "In this paper, we investigate the likelihood of cyber-attacks targeted on publicly listed companies. By reviewing the complete financial statements of the attacked companies through CompStat North America and information of cyber-attack incidents through Privacy Rights Clearinghouse, we process hundreds of the financial features in the statements to analyze the likelihood of cyber-attacks to the cohort of listed large public companies. After assessing multiple modified training models by using logistic regression, the patterns between financial features and likelihood of cyber-attacks are established. Key financial features that are highly correlated to cyber-attacks are identified." @default.
- W3211432892 created "2021-11-22" @default.
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- W3211432892 date "2020-01-01" @default.
- W3211432892 modified "2023-09-24" @default.
- W3211432892 title "Cyber-Attacks Measurement for Public Companies: An Empirical Analysis" @default.
- W3211432892 doi "https://doi.org/10.2139/ssrn.3607614" @default.
- W3211432892 hasPublicationYear "2020" @default.
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