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Evaluation of P2P Search Algorithms for Discovering Trust Paths

机译:评估信任路径的P2P搜索算法的评估

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Distributed security models based on a 'web of trust' eliminate single points of failure and alleviate performance bottlenecks. However, such distributed approaches rely on the ability to find trust paths between participants, which introduces performance overhead. It is therefore of importance to develop trust path discovery algorithms that minimize such overhead. Since peer-to-peer (P2P) networks share various characteristics with the web of trust, P2P search algorithms can potentially be exploited to find trust paths. In this paper we systematically evaluate the application of P2P search algorithms to the trust path discovery problem. We consider the number of iterations required (as expressed by the TTL parameter) as well as the messaging overhead, for discovery of single as well as multiple trust paths. Since trust path discovery does not allow for resource replication (usual in P2P applications), we observe that trust path discovery is very sensitive to parameter choices in selective forwarding algorithms (such as K-walker), but is relatively fast when the underlying network topology is scale-free.
机译:基于“信任网络”的分布式安全模型消除了单点故障并减轻了性能瓶颈。但是,这种分布式方法依赖于在参与者之间找到信任路径的能力,这会带来性能开销。因此,开发使这种开销最小化的信任路径发现算法非常重要。由于对等(P2P)网络与信任网络共享各种特征,因此可以潜在地利用P2P搜索算法来查找信任路径。在本文中,我们系统地评估了P2P搜索算法在信任路径发现问题中的应用。我们考虑发现单个和多个信任路径所需的迭代次数(由TTL参数表示)以及消息传递开销。由于信任路径发现不允许进行资源复制(通常在P2P应用程序中使用),因此我们观察到信任路径发现对选择性转发算法(例如K-walker)中的参数选择非常敏感,但是在底层网络拓扑结构中相对较快没有规模。

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