{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-10515366","patent":{"patent_number":"US-10515366","title":"Network neighborhood topology as a predictor for fraud and anomaly detection","assignee":null,"inventors":[],"filing_date":"2013-12-24T00:00:00.000Z","publication_date":"2019-12-24T00:00:00.000Z","cpc_codes":["G06Q","G06Q","G06Q"],"num_claims":20,"abstract":"An improved technique involves generating, from historical transaction data, a relational graph that represents connections between users who initiate transactions and transaction devices used to carry out the transactions. By supplementing traditional relational database models with a tool such as a graph database, a risk analysis server is able to express users and transaction devices as nodes in a graph and the connections between them as edges in the graph. The risk analysis server may then match the topology of the graph in a neighborhood of the user initiating the transaction to a known topology that is linked to an indication of risk. In some arrangements, this topology is an input into a risk model used to compute a risk score for adaptive authentication."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Network neighborhood topology as a predictor for fraud and anomaly detection","description":"An improved technique involves generating, from historical transaction data, a relational graph that represents connections between users who initiate transactions and transaction devices used to carr","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-10515366","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-10515366","citation_suggestion":"Patentable. \"Network neighborhood topology as a predictor for fraud and anomaly detection\" (US-10515366). https://patentable.app/patents/US-10515366","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-10515366","json":"https://patentable.app/api/llm-context/US-10515366","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T14:35:38.471Z"}