Post-audits for managing cyber security investments : Bayesian post-audit using Markov Chain Monte Carlo (MCMC) simulation
Year of publication: |
November/December 2018
|
---|---|
Authors: | Herath, Hemantha S. B. ; Herath, Tejaswini C. |
Published in: |
Journal of accounting and public policy. - Amsterdam [u.a.] : Elsevier Science, ISSN 0278-4254, ZDB-ID 13750-9. - Vol. 37.2018, 6, p. 545-563
|
Subject: | Information security investments | Post-audit | Bayesian post-audit | Markov Chain Monte Carlo (MCMC) simulation | Entropy | Intrusion detection systems (IDS) | Denial of service (DOS) attacks | Markov-Kette | Markov chain | Simulation | Monte-Carlo-Simulation | Monte Carlo simulation | Datensicherheit | Data security | Bayes-Statistik | Bayesian inference | Theorie | Theory | Entropie | IT-Kriminalität | IT crime |
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