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

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)1492-1510
Number of pages19
JournalComputer Journal
Volume59
Issue number10
DOIs
StatePublished - 1 Oct 2016

Keywords

  • distributed system
  • dynamic adaptation
  • peer-to-peer network
  • publication, search and retrieval
  • statistical estimation

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