DocumentCode
1921551
Title
An Empirically Derived Loss Taxonomy Based on Publicly Known Security Incidents
Author
Innerhofer-Oberperfler, Frank ; Breu, Ruth
Author_Institution
Res. Group Quality Eng., Univ. of Innsbruck, Innsbruck
fYear
2009
fDate
16-19 March 2009
Firstpage
66
Lastpage
73
Abstract
In this paper we focus on the losses related to information and IT security incidents. The loss dimension in terms of business impacts is often treated only superficially in current standards, best practices and the research literature. The main focus lies often on the impacts on properties of information and services like confidentiality, integrity and availability. We make a step in the direction of filling this gap by developing a more systematic taxonomy of losses. For this purpose publicly announced security incidents have been analysed using cause- consequence diagrams to identify different types of losses. The identified causes of incidents and the resulting types of losses have been classified using an enterprise model to distinguish different levels of abstraction. This exploratory and descriptive research yielded a) a preliminary taxonomy of losses related to security incidents, b) a validation of the enterprise model used as a frame for the analysis and c) different paths of propagation of causes of incidents.
Keywords
business data processing; security of data; IT security incidents; empirically derived loss taxonomy; information security incidents; publicly announced security incidents; publicly known security incidents; unit questioning risk managers; Availability; Computer security; Costs; Guidelines; IEC standards; ISO standards; Information security; Reliability engineering; Risk management; Taxonomy; Risk assessment;
fLanguage
English
Publisher
ieee
Conference_Titel
Availability, Reliability and Security, 2009. ARES '09. International Conference on
Conference_Location
Fukuoka
Print_ISBN
978-1-4244-3572-2
Electronic_ISBN
978-0-7695-3564-7
Type
conf
DOI
10.1109/ARES.2009.85
Filename
5066456
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