Statistical estimation and dynamic adaptation algorithms for the iTrust publication, search and retrieval system

Yung-Ting Chuang, P. M. Melliar-Smith*, Louise E. Moser, Isaií Michel Lombera

*Corresponding author for this work

研究成果: Article同行評審

摘要

The iTrust system is a decentralized and distributed publication, search and retrieval system that makes it difficult to censor or filter information accessed over the Internet. iTrust employs a completely distributed membership algorithm, and a detection and defensive adaptation algorithm that protects against malicious nodes in the membership. These algorithms depend on information that cannot be observed or measured directly, the current size of the membership and the current proportion of malicious nodes in the membership. They use statistical estimation to approximate these network environment parameters, and then they dynamically adapt accordingly. These algorithms provide accurate and timely management of the iTrust system in the presence of membership churn and malicious nodes.

原文English
頁(從 - 到)1492-1510
頁數19
期刊Computer Journal
59
發行號10
DOIs
出版狀態Published - 1 十月 2016

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