Title

m-LPN: An Approach Towards a Dependable Trust Model for Pervasive Computing Applications

Document Type

Conference Proceeding

Language

eng

Format of Original

7 p.

Publication Date

2006

Publisher

Institute of Electrical and Electronics Engineers

Source Publication

2006 International Conference on Parallel Processing - Workshops

Source ISSN

0-7695-2637-3

Original Item ID

doi: 10.1109/ICPPW.2006.44

Abstract

Trust, the fundamental basis of `cooperation' - one of the most important characteristics for the performance of pervasive ad hoc network - is under serious threat with the emergence of counterfeiting and malicious activity. Several constraints exist in the pervasive computing environment such as a device's memory, battery power and computational capability. This results in a high degree of dependence on other devices within the network to provide services. Along with this is the lack of a secure communication medium which invites both active and passive eavesdroppers. In order to restrict the participation of malicious devices, we propose a trust model which is actually a modified form of the well known LPN (learning parity with noise) based Hopper-Blum (N. Hopper and M. Blum, 2000) protocol. Our new refined model has been named as m-LPN (modified learning parity with noise) which is presented in this paper along with an illustrative example.

Comments

Published as part of the proceedings of the conference, 2006 International Conference on Parallel Processing - Workshops, 2006: 189-195. DOI.