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

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2 Author(s)
Haque, M.M. ; Marquette Univ., Milwaukee, WI ; Ahamed, S.I.

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

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Parallel Processing Workshops, 2006. ICPP 2006 Workshops. 2006 International Conference on

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