{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-10476896","patent":{"patent_number":"US-10476896","title":"Malicious threat detection through time series graph analysis","assignee":null,"inventors":[],"filing_date":"2016-09-13T00:00:00.000Z","publication_date":"2019-11-12T00:00:00.000Z","cpc_codes":["H04L","G06F","G06F","G06F","H04L","H04L","G06F","G06F","G06F"],"num_claims":20,"abstract":"Malicious threat detection through time-series graph analysis, in which a data analysis device receives a data file comprising multiple log data entries. The log data entries include parameters associated with a computer network event in a computing network. The data analysis device produces a graphical model of the computing network based on at least one parameter included in the log data. The data analysis device also identifies a parameter associated with a node of the computer network represented by the graphical model, and performs a time-series analysis on the parameter. The data analysis device further determines, based on the time-series analysis on the parameter, at least one of an anomalous event associated with the computing network or a malicious event associated with the computing network."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Malicious threat detection through time series graph analysis","description":"Malicious threat detection through time-series graph analysis, in which a data analysis device receives a data file comprising multiple log data entries. The log data entries include parameters associ","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-10476896","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-10476896","citation_suggestion":"Patentable. \"Malicious threat detection through time series graph analysis\" (US-10476896). https://patentable.app/patents/US-10476896","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-10476896","json":"https://patentable.app/api/llm-context/US-10476896","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T15:37:31.510Z"}