Quantitative Issues in Cyberinsurance: Lessons From Behavioral Economics, Counterfactuals, and Causal Inference

Autor:	Fariborz Farahmand
Rok vydání:	2020
Předmět:	Counterfactual conditional Computer Networks and Communications Management science Computer science Causal inference Liability Data breach Electrical and Electronic Engineering Behavioral economics Law
Zdroj:	IEEE Security & Privacy. 18:8-15
ISSN:	1558-4046 1540-7993
DOI:	10.1109/msec.2019.2930054
Popis:	In this article, I discuss quantitative issues in cyberinsurance with 57 experts and present a tutorial summary of how behavioral economics can quantitatively capture cybersecurity behaviors. I also examine how counterfactuals and causal inference can contribute to cyberattribution and liability quantification and suggest possible first steps to improve practicing cyberinsurance.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e816248c865d39efa434366f79bc120e https://doi.org/10.1109/msec.2019.2930054 Zobrazit plný text záznamu