Paper 2023/1332
Abuse-Resistant Location Tracking: Balancing Privacy and Safety in the Offline Finding Ecosystem
Abstract
Location tracking accessories (or "tracking tags") such as those sold by Apple, Samsung, and Tile, allow owners to track the location of their property via offline finding networks. The tracking protocols were designed to ensure that no entity (including the vendor) can use a tag's broadcasts to surveil its owner. These privacy guarantees, however, seem to be at odds with the phenomenon of $\textit{tracker-based stalking}$, where attackers use these very tags to monitor a target's movements. Numerous such criminal incidents have been reported, and in response, manufacturers have chosen to substantially weaken privacy guarantees in order to allow users to detect stalker tags. This compromise has been adopted in a recent IETF draft jointly proposed by Apple and Google. We put forth the notion of $\textit{abuse-resistant offline finding protocols}$ that aim to achieve a better balance between user privacy and stalker detection. We present an efficient protocol that achieves stalker detection under realistic conditions without sacrificing honest user privacy. At the heart of our result, and of independent interest, is a new notion of $\textit{multi-dealer secret sharing}$ which strengthens standard secret sharing with novel privacy and correctness guarantees. We show that this primitive can be instantiated efficiently on edge devices using variants of Interleaved Reed-Solomon codes combined with new lattice-based decoding algorithms.
Metadata
- Available format(s)
- Category
- Cryptographic protocols
- Publication info
- Preprint.
- Keywords
- Secret-SharingFindMyAbuse-ResistanceUnlinkabilityError Correcting Codes
- Contact author(s)
-
hme @ cs jhu edu
becgabri @ cs jhu edu
mgreen @ cs jhu edu
nadiah @ cs ucsd edu
abhishek @ cs jhu edu - History
- 2024-07-19: revised
- 2023-09-07: received
- See all versions
- Short URL
- https://ia.cr/2023/1332
- License
-
CC BY
BibTeX
@misc{cryptoeprint:2023/1332, author = {Harry Eldridge and Gabrielle Beck and Matthew Green and Nadia Heninger and Abhishek Jain}, title = {Abuse-Resistant Location Tracking: Balancing Privacy and Safety in the Offline Finding Ecosystem}, howpublished = {Cryptology {ePrint} Archive, Paper 2023/1332}, year = {2023}, url = {https://eprint.iacr.org/2023/1332} }