• 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