Establishing trust relationships between peers is an essential approach to prevent threats. Most current approaches concentrate on polling algorithms to evaluate peer trustworthiness, but these approaches are either s...
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Establishing trust relationships between peers is an essential approach to prevent threats. Most current approaches concentrate on polling algorithms to evaluate peer trustworthiness, but these approaches are either system-expensive or inefficient. In this paper, we propose a concrete challenge-based trust protocol for P2P networks. Our protocol uses challenge-response operations in each trust evaluation phase and validates every contacted peer along with recording their corresponding trust value. The scheme in our protocol utilizes random selection of challenges, and does not reveal additional information, so malicious peers have little opportunity to tamper with the P2P systems. Simulation results show our protocol saves communication cost by around 90%. We suggest a tolerance value of 0.2 which gives a design reference for implementing new P2P trust-establishing protocols. Copyright (C) 2010 John Wiley & Sons, Ltd.
We study the problem of adaptive polling in undirected general networks. polling, also known as broadcast-confirm, consists a propagation round and a feedback round. In adaptive polling, a spanning tree of unknown top...
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We study the problem of adaptive polling in undirected general networks. polling, also known as broadcast-confirm, consists a propagation round and a feedback round. In adaptive polling, a spanning tree of unknown topology is built dynamically during the propagation round, and feedback messages are free to choose their paths in order to adapt to traffic and fault situations. We study three adaptive polling algorithms and analyze their worst-case communication bit complexities in the propagation round. Then, we prove a lower bound on the worst-case communication bit complexity of Ω(e+n log n) in the propagation round for all algorithms of the same kind as the three algorithms we study, where n is the number of nodes, and e the number of edges. We conclude that the cost introduced into the network due to the running of an adaptive polling algorithm is mild.
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