{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11258812","patent":{"patent_number":"US-11258812","title":"Automatic characterization of malicious data flows","assignee":null,"inventors":[],"filing_date":"2019-06-24T00:00:00.000Z","publication_date":"2022-02-22T00:00:00.000Z","cpc_codes":["H04L","G06F","H04L","H04L","H04L","H04L","H04L","G06F"],"num_claims":15,"abstract":"A method of identifying malicious activity in a sequence of computer instructions includes monitoring data flows from a public network to one or more networked devices on a private network and to one or more honeypots that appear to the public network to be devices on the private network, representing each such data flow as a word, and the sequence of data flows as comprising an n-gram of two or more words. The data flows are characterized with a likelihood of being malicious based on their statistical association with the one or more honeypots relative to their statistical association with one or more networked devices. Identified malicious activity is used to train a network device to identify malicious data flows and prevent them from reaching devices on the private network."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Automatic characterization of malicious data flows","description":"A method of identifying malicious activity in a sequence of computer instructions includes monitoring data flows from a public network to one or more networked devices on a private network and to one ","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11258812","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-11258812","citation_suggestion":"Patentable. \"Automatic characterization of malicious data flows\" (US-11258812). https://patentable.app/patents/US-11258812","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11258812","json":"https://patentable.app/api/llm-context/US-11258812","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T23:55:30.294Z"}