m-LPN: an approach towards a dependable trust model for pervasive computing applications

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...

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Bibliographic Details
Main Authors: Haque, M.M., Ahamed, S.I.
Format: Conference Proceeding
Language:English
Subjects:
Ad hoc networks
Authentication
Availability
Batteries
Costs
Counterfeiting
Monitoring
Personal digital assistants
Pervasive computing
Protocols
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Summary: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
ISSN:0190-3918
2332-5690
DOI:10.1109/ICPPW.2006.44