Privacy-Enhanced Content Discovery for Bitswap

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Beitragende

  • Erik Daniel - , Technische Universität Berlin (Autor:in)
  • Florian Tschorsch - , Technische Universität Berlin (Autor:in)

Abstract

IPFS is a content-addressed peer-to-peer data network, which follows the paradigm of information centric networking. In IPFS, data is exchanged with the Bitswap protocol. For content discovery, Bitswap queries all neighbors for the content, leaking the interest to all neighbors. In our paper, we develop three privacy-enhanced protocols for content discovery, which reduce the interest leak from all neighbors to ideally one content provider. Our protocols use probabilistic data structures like Bloom filter and cryptographic approaches like Private Set Intersection. We implement our protocols as proof of concept and show how they can be integrated into go-bitswap. Furthermore, we provide a performance, security, and privacy evaluation of the three protocols, showing their feasibility trade-offs.

Details

OriginalspracheEnglisch
TitelNetworking '23: Proceedings of the 22nd IFIP Networking Conference
Seiten1-9
ISBN (elektronisch)9783903176577
PublikationsstatusVeröffentlicht - Juni 2023
Peer-Review-StatusJa
Extern publiziertJa

Externe IDs

Scopus 85167864123

Schlagworte

Schlagwörter

  • IPFS, Information Centric Networking, P2P Overlay Network, Privacy