An Information Systems Security Risk Assessment Model under the Dempster-Shafer Theory of Belief Functions

This study develops an alternative methodology for the risk analysis of information systems security (ISS), an evidential reasoning approach under the Dempster-Shafer theory of belief functions. The approach has the following important dimensions. First, the evidential reasoning approach provides a...

Ausführliche Beschreibung

Bibliographische Detailangaben
Veröffentlicht in:Journal of Management Information Systems. - Taylor & Francis, Ltd.. - 22(2006), 4, Seite 109-142
1. Verfasser: Sun, Lili (VerfasserIn)
Weitere Verfasser: Srivastava, Rajendra P., Mock, Theodore J.
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2006
Zugriff auf das übergeordnete Werk:Journal of Management Information Systems
Schlagworte:belief function theory cost-benefit analysis evidential reasoning information systems security risk analysis sensitivity analysis Economics Applied sciences Business Mathematics mehr... Behavioral sciences Information science Philosophy
Beschreibung
Zusammenfassung:This study develops an alternative methodology for the risk analysis of information systems security (ISS), an evidential reasoning approach under the Dempster-Shafer theory of belief functions. The approach has the following important dimensions. First, the evidential reasoning approach provides a rigorous, structured manner to incorporate relevant ISS risk factors, related countermeasures, and their interrelationships when estimating ISS risk. Second, the methodology employs the belief function definition of risk— that is, ISS risk is the plausibility of ISS failures. The proposed approach has other appealing features, such as facilitating costbenefit analyses to help promote efficient ISS risk management. The paper elaborates the theoretical concepts and provides operational guidance for implementing the method. The method is illustrated using a hypothetical example from the perspective of management and a real-world example from the perspective of external assurance providers. Sensitivity analyses are performed to evaluate the impact of important parameters on the model's results.
ISSN:1557928X