By Topic

Network Security Risk Assessment Using Bayesian Belief Networks

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
$33 $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

1 Author(s)
Suleyman Kondakci ; Fac. of Eng. & Comput. Sci., Izmir Univ. of Econ., Izmir, Turkey

This paper presents a causal assessment model based on Bayesian Belief Networks to analyze and quantify information security risks caused by various threat sources. The proposed model can be applied to a variety of information security evaluation tasks, risk assessment, software development projects, IT products, and other decision making systems. This unique concept can also be used for the determination of joint risk propagation and interdependence structures within computer networks, information systems, and other engineering tasks in general. By this manner, we can facilitate the determination of probabilistic outputs caused by some precalculated input probabilities or by marginal/joint probabilities found so far within the chain of an interdependence structure.

Published in:

Social Computing (SocialCom), 2010 IEEE Second International Conference on

Date of Conference:

20-22 Aug. 2010