Location fraud detection
Design a real-time GPS-spoofing / location-fraud detection system for a platform where location drives payouts and incentives (e.g. drivers faking proximity to grab surge zones, or users teleporting to claim location-based rewards). You ingest 1M location updates/sec and must flag implausible movement in near real time, lower the trust of suspicious accounts, and avoid penalizing legitimate users with bad GPS. Describe the signals you'd compute from the location stream, the streaming detection architecture, how you score and act, and the trade-off between catching fraud fast and false-positive harm.
Clarify scale and constraints first. Propose a clean component breakdown, then go deep on the hard parts (data model, bottlenecks, consistency, failure modes) and name the trade-offs you are making.