Graduated Trust Gating for IoT Location Verification: Trading Off Detection and Proof Escalation
For IoT system designers, this work addresses the trade-off between false-deny and false-accept rates in location spoofing detection, offering a practical graduated response mechanism.
The paper proposes a graduated trust gate for IoT location verification that computes a multi-signal integrity score and maps it to three actions (PROCEED, STEP-UP, DENY), reducing false-deny rate to zero at matched false-accept rate of 11% compared to 0.05% for binary gates, with 5 microseconds overhead.
IoT location services accept client-reported GPS coordinates at face value, yet spoofing is trivial with consumer-grade tools. Existing spoofing detectors output a binary decision, forcing system designers to choose between high false-deny and high false-accept rates. We propose a graduated trust gate that computes a multi-signal integrity score and maps it to three actions: PROCEED, STEP-UP, or DENY, where STEP-UP invokes a stronger verifier such as a zero-knowledge proximity proof. A session-latch mechanism ensures that a single suspicious fix blocks the entire session, preventing post-transition score recovery. Under an idealized step-up oracle on 10,000 synthetic traces, the gate enables strict thresholds (theta_p = 0.9) that a binary gate cannot safely use: at matched false-accept rate (11%), the graduated gate maintains zero false-deny rate versus 0.05% for binary, with 5 microseconds scoring overhead. Real-device traces from an Android smartphone demonstrate the session-latch mechanism and show that a nearby mock location (~550 m) evades theta_p = 0.7 but is routed to step-up at theta_p = 0.9. Signal ablation identifies a minimal two-signal configuration (F1 = 0.84) suitable for resource-constrained scoring layers.