IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

A Progressive Exposure Approach for Secure Service discovery in Pervasive Computing Environments

A Progressive Exposure Approach for Secure Service discovery in Pervasive Computing Environments
View Sample PDF
Author(s): S. Durga (Karunya University, India)
Copyright: 2010
Pages: 12
Source title: Strategic Pervasive Computing Applications: Emerging Trends
Source Author(s)/Editor(s): Varuna Godara (CEO of Sydney College of Management, Australia)
DOI: 10.4018/978-1-61520-753-4.ch007

Purchase

View A Progressive Exposure Approach for Secure Service discovery in Pervasive Computing Environments on the publisher's website for pricing and purchasing information.

Abstract

The dynamic property of pervasive computing hinders users to have complete knowledge of the relationship among services, service providers, and credentials. The involvement of only the necessary users and service providers for service discovery in pervasive computing environments is challenging. Without prudence, users’ and service providers’ requests or service information, their identities, and their presence information may be sacrificed. The problem may be as difficult as a chicken-and-egg problem, in which both users and service providers want the other parties to expose sensitive information first. In this chapter, the authors propose a progressive approach to solve the problem. Users and service providers expose partial information in turn and avoid unnecessary exposure if there is any mismatch. Although 1 or 2 bits of information are exchanged in each message, the theoretical analysis and experiments show that our approach protects sensitive information with little overhead.

Related Content

Bin Guo, Yunji Liang, Zhu Wang, Zhiwen Yu, Daqing Zhang, Xingshe Zhou. © 2014. 20 pages.
Yunji Liang, Xingshe Zhou, Bin Guo, Zhiwen Yu. © 2014. 31 pages.
Igor Bisio, Alessandro Delfino, Fabio Lavagetto, Mario Marchese. © 2014. 33 pages.
Kobkaew Opasjumruskit, Jesús Expósito, Birgitta König-Ries, Andreas Nauerz, Martin Welsch. © 2014. 22 pages.
Viktoriya Degeler, Alexander Lazovik. © 2014. 23 pages.
Vlasios Kasapakis, Damianos Gavalas. © 2014. 26 pages.
Zhu Wang, Xingshe Zhou, Daqing Zhang, Bin Guo, Zhiwen Yu. © 2014. 18 pages.
Body Bottom