{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11514160","patent":{"patent_number":"US-11514160","title":"System and method for determining a coefficient of harmfullness of a file using a trained learning model","assignee":null,"inventors":[],"filing_date":"2021-01-26T00:00:00.000Z","publication_date":"2022-11-29T00:00:00.000Z","cpc_codes":["G06F","G06F","G06N","G06N","G06F","G06F","G06N","G06N","H04L"],"num_claims":17,"abstract":"Disclosed herein are systems and methods for determining a coefficient of harmfulness of a file using a trained learning model. In one aspect, an exemplary method includes forming a first vector containing a plurality of attributes of a known malicious file. A learning model is trained using the first vector to identify a plurality of significant attributes that influence identification of the malicious file. A second vector is formed containing a plurality of attributes of known safe files. The learning model is trained using the second vector to identify attributes insignificant to the identification of the malicious file. An unknown file is analyzed by the learning model. The learning model outputs a numerical value identifying a coefficient of harmfulness relating to a probability that the unknown file will prove to be harmful."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"System and method for determining a coefficient of harmfullness of a file using a trained learning model","description":"Disclosed herein are systems and methods for determining a coefficient of harmfulness of a file using a trained learning model. In one aspect, an exemplary method includes forming a first vector conta","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11514160","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-11514160","citation_suggestion":"Patentable. \"System and method for determining a coefficient of harmfullness of a file using a trained learning model\" (US-11514160). https://patentable.app/patents/US-11514160","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11514160","json":"https://patentable.app/api/llm-context/US-11514160","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T00:41:31.661Z"}