{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9608819","patent":{"patent_number":"US-9608819","title":"Learning parity with noise-based relational encryption for proximity relations","assignee":null,"inventors":[],"filing_date":"2016-05-02T00:00:00.000Z","publication_date":"2017-03-28T00:00:00.000Z","cpc_codes":["H04L","G06F","G06V","H04L","H04L","H04L","H04L","H04L","H04L","H04L","H04L","H04L","G06V"],"num_claims":20,"abstract":"A method includes receiving a first and a second linearity ciphertexts representative of a first and second biometric templates, respectively that are encrypted using a relational linearity encryption scheme (linearity scheme). The linearity scheme is based on learning parity with noise. The method includes discovering a linearity relationship between the first and the second linearity ciphertexts. The method includes receiving a first and a second proximity hash value representative of the first and second biometric templates, respectively encrypted using a relational proximity hash scheme (proximity scheme). The proximity scheme is based on the linearity scheme and an error correcting code. The method includes detecting a proximity between the first and the second proximity hash value in terms of a Hamming distance. The method includes authenticating an identity of a user based on the proximity and the linearity relationship."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Learning parity with noise-based relational encryption for proximity relations","description":"A method includes receiving a first and a second linearity ciphertexts representative of a first and second biometric templates, respectively that are encrypted using a relational linearity encryption","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9608819","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-9608819","citation_suggestion":"Patentable. \"Learning parity with noise-based relational encryption for proximity relations\" (US-9608819). https://patentable.app/patents/US-9608819","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9608819","json":"https://patentable.app/api/llm-context/US-9608819","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-06-06T07:15:36.868Z"}