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The complexity of fixed point models of trust in distributed networks

机译:分布式网络中定点信任模型的复杂性

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In this paper we consider the complexity of some problems arising in a fixed point model of trust in large-scale distributed systems, based on the notion of trust structures introduced by Carbone, Nielsen and Sassone; a set of trust levels with two distinct partial orderings. In the trust model, a global trust state exists as the least fixed point of a collection of local policy functions of nodes in the network. We first show that it is possible to efficiently compute a single component of the global trust state using a simple, robust and totally asynchronous distributed algorithm. We complement this with a lower bound which shows that, if the policies are unrestricted then communication and time linear in the number of distinct trust levels is required in the worst case. We then consider the notion of distributed proof carrying requests previously introduced as a means of safely approximating the global trust state without computing its exact value. We present a new result that enables us to give a continuum of proof carrying protocols, the previously known protocol being one extreme of this. The theorem allows us to generate protocols that can prove all possible trust values (previously, it was only possible to prove trust values representing 'not too much bad behaviour'). However, we show that such a general protocol may not be efficient - it is NP-hard to construct an approximately minimal size proof in our model, and in the worst case the nodes must communicate almost as much data as if they were to compute the global trust state from scratch. The implications of our negative results are that it may be necessary to restrict the policy language in order to efficiently implement a fixed point model of trust in a distributed network. (c) 2007 Elsevier B.V. All rights reserved.
机译:本文基于Carbone,Nielsen和Sassone引入的信任结构概念,考虑了大规模分布式系统中的定点信任模型中出现的一些问题的复杂性。具有两个截然不同的部分排序的一组信任级别。在信任模型中,全局信任状态作为网络中节点的本地策略功能集合的最不固定点而存在。我们首先表明,使用简单,健壮且完全异步的分布式算法可以有效地计算全局信任状态的单个组成部分。我们用一个下限对此进行补充,该下限表明,如果策略不受限制,那么在最坏的情况下就需要不同信任级别的数量的通信和时间线性。然后,我们将先前引入的分布式证明携带请求的概念视为安全近似于全局信任状态而不计算其确切值的一种方法。我们提出了一个新的结果,使我们能够给出一个连续的证明协议,而以前已知的协议就是其中的一个极端。该定理允许我们生成可以证明所有可能的信任值的协议(以前,只能证明代表“不太严重的不良行为”的信任值)。但是,我们证明了这样的通用协议可能并不高效-在我们的模型中构造近似最小的大小证明是NP难的,并且在最坏的情况下,节点必须传达的数据量几乎与计算节点的数据量相同。从零开始的全球信任状态。我们负面结果的含义是,可能有必要限制策略语言,以便在分布式网络中有效地实现定点信任模型。 (c)2007 Elsevier B.V.保留所有权利。

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