Abuse-Resistant Location Tracking: Balancing Privacy and Safety in the Offline Finding Ecosystem
Harry Eldridge, Gabrielle Beck, Matthew Green, Nadia Heninger, Abhishek Jain
摘要
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 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 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 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.
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- Security and Privacy Analysis of Tile's Location Tracking ProtocolAkshaya Kumar, Anna Raymaker, Michael A. SpecterUSENIX Security 2026 · 被引用 1 次
- Snatcher: Apple Find My Network Exposes Your Lost Devices To StrangersZhenyu Ren, Yanbo Zhang, Boya Liu, Mo LiCCS 2026
- Zero-Knowledge Location Privacy via Accurate Floating-Point SNARKsJens Ernstberger, Chengru Zhang, Luca Ciprian, Philipp Jovanovic 等S&P 2025
- PrivacyShield: Relaying BLE Beacons to Counter Unsolicited TrackingFlorian Hofhammer, Daniele Antonioli, Mathias PayerUSENIX Security 2026
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