The iTrust search and retrieval network is designed to impede attempts to censor or filter information accessed over the Internet, providing trustworthy access to information on the Web. In iTrust, a fully distributed membership algorithm and a detection/defensive adaptation algorithm act in concert to protect against malicious nodes in membership. By applying statistical inference for both detection and defensive algorithms, I was able to measure information that cannot be observed directly, such as the current size of the membership and the current proportion of malicious nodes in the network. Experimentation demonstrates that both algorithms are able to estimate these metrics quickly and accurately, to the point that the nodes can use them to manage the iTrust system, despite a high rate of membership churn, a large number of malicious nodes, and a mere partial view of network membership. Copyright ? 2015 John Wiley & Sons, Ltd. The iTrust search and retrieval network is designed to impede attempts to censor information accessed over the Internet. In iTrust, a fully distributed membership algorithm and a detection/defensive adaptation algorithm act in concert to protect against malicious nodes in membership. By applying statistical inference for both algorithms, I was able to estimate these metrics quickly and accurately, despite a high rate of membership churn, a large number of malicious nodes, and a mere partial view of network membership.
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机译：iTrust搜索和检索网络旨在阻止审查或过滤通过Internet访问的信息的尝试，从而提供对Web信息的可靠访问。在iTrust中，完全分布式的成员资格算法和检测/防御性自适应算法共同起作用，以防止成员资格中的恶意节点。通过将统计推断应用于检测算法和防御算法，我能够测量无法直接观察到的信息，例如当前成员资格的大小和网络中恶意节点的当前比例。实验表明，尽管成员流失率高，恶意节点数量大且仅是局部视图，但两种算法都能够快速准确地估算这些指标，以至节点可以使用它们来管理iTrust系统。网络成员资格。版权？ 2015 John Wiley＆Sons，Ltd. iTrust搜索和检索网络旨在阻止尝试审查通过Internet访问的信息。在iTrust中，完全分布式的成员资格算法和检测/防御性自适应算法共同起作用，以防止成员资格中的恶意节点。通过对这两种算法进行统计推断，尽管成员流失率高，恶意节点数量大并且仅具有部分网络成员关系，但我仍能够快速准确地估算这些指标。
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