Skip to main navigation Skip to search Skip to main content

A knowledge framework for information security modeling

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

The data collection process for risk assessment highly depends on the security experience of security staffs of an organization. It is difficult to have the right information security staff, who understands both the security requirements and the current security state of an organization and at the same time possesses the skill to perform risk assessment. However, a well defined knowledge model could help to describe categories of knowledge required to guide the data collection process. In this paper, a knowledge framework is introduced, which includes a knowledge model to define the data skeleton of the risk environment of an organization and security patterns about relationships between threat, entity and countermeasures; and a data integration mechanism for integrating distributed security related data into a security data repository that is specific to an organization for information security modelling. © 2006 Shuangyan Liu, Chinghang Cheung, and Lamfor Kwok.
Original languageEnglish
Title of host publicationProceedings of 4th Australian Information Security Management Conference
Publication statusPublished - 2006
Event4th Australian Information Security Management Conference, AISM - Perth, WA, Australia
Duration: 5 Dec 20065 Dec 2006

Conference

Conference4th Australian Information Security Management Conference, AISM
PlaceAustralia
CityPerth, WA
Period5/12/065/12/06

Research Keywords

  • Data Integration
  • Information Security Management
  • Knowledge Representation
  • Risk Analysis

Fingerprint

Dive into the research topics of 'A knowledge framework for information security modeling'. Together they form a unique fingerprint.

Cite this