Privacy-Preserving Peer Discovery for Group Management in p2p Networks

Tommi Meskanen, Valtteri Niemi, Jarkko Kuusijaarvi

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

2 Citations (Scopus)

Abstract

The necessity for peer-to-peer (p2p) communications is obvious; current centralized solutions are capturing and storing too much information from the individual people communicating with each other. Privacy concerns with a centralized solution in possession of all the users data are a difficult matter. HELIOS platform introduces a new social-media platform that is not in control of any central operator, but brings the power of possession of the data back to the users. It does not have centralized servers that store and handle receiving/sending of the messages. Instead, it relies on the current open-source solutions available in the p2p communities to propagate the messages to the wanted recipients of the data and/or messages. The p2p communications also introduce new problems in terms of privacy and tracking of the user, as the nodes part of a p2p network can see what data the other nodes provide and ask for. How the sharing of data in a p2p network can be achieved securely, taking into account the user's privacy is a question that has not been fully answered so far. We do not claim we answer this question fully in this paper either, but we propose a set of protocols to help answer one specific problem. Especially, this paper proposes how to privately share data (end-point address or other) of the user between other users, provided that they have previously connected with each other securely, either offline or online.

Original languageEnglish
Title of host publicationProceedings of the 27th Conference of Open Innovations Association FRUCT
Subtitle of host publicationFRUCT 2020
EditorsSergey Balandin, Luca Turchet, Tatiana Tyutina
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages150-156
ISBN (Electronic)978-952-69244-3-4
ISBN (Print)978-1-7281-6247-8
DOIs
Publication statusPublished - Sept 2020
MoE publication typeA4 Article in a conference publication
Event27th Conference of Open Innovations Association FRUCT, FRUCT 2020: Online - Virtual, Trento, Italy
Duration: 7 Sept 20209 Sept 2020

Publication series

SeriesConference of Open Innovation Association FRUCT
Volume27
ISSN2305-7254

Conference

Conference27th Conference of Open Innovations Association FRUCT, FRUCT 2020
Abbreviated titleFRUCT 2020
Country/TerritoryItaly
CityTrento
Period7/09/209/09/20

Keywords

  • Peer-to-peer computing
  • Cryptography
  • Protocols
  • Data privacy

Fingerprint

Dive into the research topics of 'Privacy-Preserving Peer Discovery for Group Management in p2p Networks'. Together they form a unique fingerprint.

Cite this