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

11 years 5 months ago
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 as a device’s memory, battery power and computational capability. This results is 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 [1, 2] 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.
Munirul M. Haque, Sheikh Iqbal Ahamed
Added 11 Jun 2010
Updated 11 Jun 2010
Type Conference
Year 2006
Where ICPPW
Authors Munirul M. Haque, Sheikh Iqbal Ahamed
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