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A Generic Data Exchange System for Friend-to-Friend Networks

Cyril Soler 1
1 MAVERICK - Models and Algorithms for Visualization and Rendering
Inria Grenoble - Rhône-Alpes, Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology, LJK - Laboratoire Jean Kuntzmann
Abstract : Decentralized private networks (a.k.a. darknets) guaranty privacy and concealment of information against global observers. Although a significant number of decentralized data distribution systems ex- ist, most of them target peer-to-peer architectures where any pair of nodes can exchange data using a temporary encrypted connection. Little has been done to achieve the same confidentiality in static darknet architectures, also known as “Friend-to-Friend” net- works, in which participants form a static mesh of nodes, each node only talking to a set of “friend” nodes managed by the user himself. Distributing data over F2F networks requires a specific model of confidentiality and proper algorithms in order to seamlessly spread the information beyond immediate friends nodes. In this paper we present a secure, robust and generic data distribution system that is specifically suitable to F2F networks. The proposed system manages pseudo-anonymous identities grouped into circles, that can be used to limit the access to information. It offers built-in reputation control and an abstract data layer to represent the information to spread. On top of that we present several existing applications to that system, providing the functionality of distributed forums, asynchroneous messaging, distribution channels, and also discuss the possibility to create social networking applications on top of it.
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Submitted on : Friday, October 20, 2017 - 2:46:56 PM
Last modification on : Monday, November 8, 2021 - 9:48:08 AM
Long-term archiving on: : Sunday, January 21, 2018 - 12:35:39 PM


  • HAL Id : hal-01617423, version 1



Cyril Soler. A Generic Data Exchange System for Friend-to-Friend Networks. [Research Report] RR-9107, INRIA Grenoble - Rhone-Alpes. 2017, pp.1-25. ⟨hal-01617423⟩



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