Paper 2024/409

Nebula: A Privacy-First Platform for Data Backhaul

Jean-Luc Watson, University of California, Berkeley
Tess Despres, University of California, Berkeley
Alvin Tan, University of California, Berkeley
Shishir G. Patil, University of California, Berkeley
Prabal Dutta, University of California, Berkeley
Raluca Ada Popa, University of California, Berkeley
Abstract

Imagine being able to deploy a small, battery-powered device nearly anywhere on earth that humans frequent and having it be able to send data to the cloud without needing to provision a network—without buying a physical gateway, setting up WiFi credentials, or acquiring a cellular SIM. Such a capability would address one of the greatest bottlenecks to deploying the long-tail of small, embedded, and power-constrained IoT devices in nearly any setting. Unfortunately, decoupling the device deployment from the network configuration needed to transmit, or backhaul, sensor data to the cloud remains a tricky challenge, but the success of Tile and AirTag offers hope. They have shown that mobile phones can crowd-source worldwide local network coverage to find lost items, yet expanding these systems to enable general-purpose backhaul raises privacy concerns for network participants. In this work, we present Nebula, a privacy-focused architecture for global, intermittent, and low-rate data backhaul to enable nearly any thing to eventually connect to the cloud while (i) preserving the privacy of the mobile network participants from the platform provider by decentralizing data flow through the system, (ii) incentivizing participation through micropayments, and (iii) preventing system abuse.

Metadata
Available format(s)
PDF
Category
Applications
Publication info
Published elsewhere. 45th IEEE Symposium on Security and Privacy (Oakland '24)
DOI
10.1109/SP54263.2024.00092
Keywords
PrivacyBackhaulIoTMobile
Contact author(s)
jlw @ berkeley edu
tdespres @ berkeley edu
alverino @ berkeley edu
shishirpatil @ berkeley edu
prabal @ berkeley edu
raluca popa @ berkeley edu
History
2024-03-08: approved
2024-03-06: received
See all versions
Short URL
https://ia.cr/2024/409
License
Creative Commons Attribution
CC BY

BibTeX

@misc{cryptoeprint:2024/409,
      author = {Jean-Luc Watson and Tess Despres and Alvin Tan and Shishir G. Patil and Prabal Dutta and Raluca Ada Popa},
      title = {Nebula: A Privacy-First Platform for Data Backhaul},
      howpublished = {Cryptology ePrint Archive, Paper 2024/409},
      year = {2024},
      doi = {10.1109/SP54263.2024.00092},
      note = {\url{https://eprint.iacr.org/2024/409}},
      url = {https://eprint.iacr.org/2024/409}
}
Note: In order to protect the privacy of readers, eprint.iacr.org does not use cookies or embedded third party content.