Secure Distance Bounding Verification using Physical-Channel Properties
Hadi Ahmadi, Reihaneh Safavi-Naini

TL;DR
This paper explores secure distance verification using physical channel properties instead of time measurement, proposing protocols secure against certain attacks and analyzing their communication complexity.
Contribution
It introduces novel distance bounding verification protocols based on physical channel properties, achieving security against specific attacks and analyzing their efficiency.
Findings
Protocols secure against distance fraud and mafia fraud even with unbounded adversaries.
Impossibility of TFA security without time measurement, unless in the bounded retrieval model.
Numerical analysis of communication complexity of the proposed protocols.
Abstract
We consider the problem of distance bounding verification (DBV), where a proving party claims a distance and a verifying party ensures that the prover is within the claimed distance. Current approaches to "secure" distance estimation use signal's time of flight, which requires the verifier to have an accurate clock. We study secure DBV using physical channel properties as an alternative to time measurement. We consider a signal propagation environment that attenuates signal as a function of distance, and then corrupts it by an additive noise. We consider three attacking scenarios against DBV, namely distance fraud (DFA), mafia fraud (MFA) and terrorist fraud (TFA) attacks. We show it is possible to construct efficient DBV protocols with DFA and MFA security, even against an unbounded adversary; on the other hand, it is impossible to design TFA-secure protocols without time…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsEnergy Efficient Wireless Sensor Networks · Security in Wireless Sensor Networks · Wireless Body Area Networks
