Trustworthiness and Quality of Context Information

Context-aware service platforms use context information to customize their services to the current users' situation. Due to technical limitations in sensors and context reasoning algorithms, context information does not always represent accurately the reality, and Quality of Context (QoC) models have been proposed to quantify this inaccuracy. The problems we have identified with existing QoC models is that they do not follow a standard terminology and none of them clearly differentiate quality attributes related to instances of context information (e.g. accuracy and precision) from trustworthiness, which is a quality attribute related to the context information provider. In this paper we propose a QoC model and management architecture that supports the management of QoC trustworthiness and also contributes to the terminology alignment of existing QoC models. In our QoC model, trustworthiness is a measurement of the reliability of a context information provider to provide context information about a specific entity according to a certain quality level. This trustworthiness value is used in our QoC management architecture to support context-aware service providers in the selection of trustworthy context providers. As a proof of concept to demonstrate the feasibility of our work we show a prototype implementation of our QoC model and management architecture.

[1]  Marten van Sinderen,et al.  Trust Management Model and Architecture for Context-Aware Service Platforms , 2007, OTM Conferences.

[2]  Michael Krause,et al.  Challenges in Modelling and Using Quality of Context (QoC) , 2005, MATA.

[3]  Julie A. McCann,et al.  An adaptive middleware framework for context-aware applications , 2005, Personal and Ubiquitous Computing.

[4]  N. L. Chervany,et al.  THE MEANINGS OF TRUST , 2000 .

[5]  Marten van Sinderen,et al.  Supporting context-aware mobile applications: an infrastructure approach , 2006, IEEE Communications Magazine.

[6]  Stephen Hailes,et al.  Supporting trust in virtual communities , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[7]  M. Ufuk Çaglayan,et al.  Use of nested certificates for efficient, dynamic, and trust preserving public key infrastructure , 2004, TSEC.

[8]  Julie A. McCann,et al.  A learning model for trustworthiness of context-awareness services , 2005, Third IEEE International Conference on Pervasive Computing and Communications Workshops.

[9]  Morris Sloman,et al.  A survey of trust in internet applications , 2000, IEEE Communications Surveys & Tutorials.

[10]  Celeste Campo,et al.  PTM: A Pervasive Trust Management Model for Dynamic Open Environments ⁄ , 2003 .

[11]  Audun Jøsang,et al.  A Logic for Uncertain Probabilities , 2001, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[12]  Vincent P. Wade,et al.  Trust meta-policies for flexible and dynamic policy based trust management , 2006, Seventh IEEE International Workshop on Policies for Distributed Systems and Networks (POLICY'06).

[13]  J. H. Davis,et al.  An Integrative Model Of Organizational Trust , 1995 .

[14]  Marten van Sinderen,et al.  Quality-of-Context and its use for Protecting Privacy in Context Aware Systems , 2008, J. Softw..