By Topic

Towards a Privacy Policy Enforcement Middleware with Location Intelligence

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

4 Author(s)
Yi Zheng ; Inst. of Technol., Fac. of Bus. & IT, Univ. of Ontario, Oshawa, ON ; Chiu, D.K.W. ; Hongbing Wang ; Hung, P.C.K.

Information privacy is usually concerned with the confidentiality of personally identifiable information (PII), such as electronic medical records. Nowadays, Web services are used to support different applications which may contain PII, such as healthcare applications. Thus, the information access control mechanism for Web services must be embedded into privacy-enhancing technologies. Further as application goes mobile and ubiquitous, location become an important determinant for enforcing privacy constraints. On the other hand, role-based access control (RBAC) model has been widely investigated and applied into various applications for a period of time. This paper presents a privacy access control policy enforcement model extended from RBAC with location intelligence for Web services-based applications. In addition, we illustrate the realization of this model with a middleware architecture. This paper also illustrates our proposed mechanism in the context of extensible access control markup language (XACML) and WS-policy constraints.

Published in:

EDOC Conference Workshop, 2007. EDOC '07. Eleventh International IEEE

Date of Conference:

15-16 Oct. 2007