By Topic

A Probabilistic Estimation Model for Information Systems Security Risk Analysis

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Nan Feng ; Sch. of Manage., Tianjin Univ., Tianjin, China ; Jing Xie ; Deying Fang

In this paper, a probabilistic estimation model for information systems security (ISS) risk analysis based on evidential reasoning approach is presented. The modeling process consists of four phases: specification of the model structure, estimation of evidence strength, computation of beliefs on assertions, and ISS risk monitoring and analysis. Using the changes of strength of evidences obtained in the organization's information systems, the model can continually estimate the probability of risk, and identify the sources of risk. The significance of the work is that the model provides objective and visible support for ISS risk analysis.

Published in:

Management and Service Science, 2009. MASS '09. International Conference on

Date of Conference:

20-22 Sept. 2009