GEOSPATIAL-TEMPORAL PATHOGEN TRACING IN ZERO KNOWLEDGE

    公开(公告)号:US20220006635A1

    公开(公告)日:2022-01-06

    申请号:US17364048

    申请日:2021-06-30

    IPC分类号: H04L9/32 G06N20/00 G16H70/60

    摘要: Techniques for geospatial-temporal pathogen tracing in zero knowledge include: generating, by a first user device, a first proximity token for contact tracing; receiving, by the first user device, a second proximity token from a second user device; generating, by the first user device, a hash based on the first proximity token and the second proximity token; generating, by the first user device using a prover function of a preprocessing zero knowledge succinct non-interactive argument of knowledge (pp-zk-SNARK), a cryptographic proof attesting that an individual associated with the first user device tested positive for a pathogen; transmitting, by the first user device, first publicly verifiable exposure data including at least the cryptographic proof and the hash to a public registry; and applying at least the first publicly verifiable exposure data and second publicly verifiable exposure data to a machine learning model, to obtain actionable intelligence associated with the pathogen.