Patents

US 12732528 B2: Systems and methods for improved cybersecurity named-entity-recognition considering semantic similarity

Granted
2026-09-08
Filed
2024-07-23 application 18781995
Type
Utility · 6 claims
Elsewhere
Google Patents ↗ · USPTO patent document ↗ · USPTO Patent Center record ↗

Abstract

A computer-implemented system implements a named entity recognition (NER) model trained for automatic dataset labeling and corpus generation for cybersecurity entities. The NER model includes a semantic similarity measure to determine which category an unclassified/unlabeled word such as an ambiguous keyword with more than one meaning should belong to based on the semantic similarity of an entire sentence.

Source: PTBLXML, file of 2026-09-08 (ipgb20260908.xml).

Assignees

AssigneeTypePlaceAlso on furp.orgSource
Arizona Board of Regents on Behalf of Arizona State University 1,571 patentsUS company or organizationTempe, AZPTBLXML, file of 2026-09-08
Cyber Reconnaissance, Inc. 3 patentsUS company or organizationTempe, AZCYBER RECONNAISSANCE, INC. Form D issuer EXACT high confidence: identical full name and statePTBLXML, file of 2026-09-08

Inventors

InventorPlacePatentsPerson pageSource
Kazuaki KashiharaMesa, AZ2PTBLXML, file of 2026-09-08
Jana ShakarianChandler, AZ11PTBLXML, file of 2026-09-08

CPC categories

SubclassCategoryFirst groupSource
H04LTransmission of digital information, e.g. telegraphic communicationH04L63/1433PTBLXML, file of 2026-09-08
G06FElectric digital data processingG06F18/213PTBLXML, file of 2026-09-08
G06NComputing arrangements based on specific computational modelsG06N20/00PTBLXML, file of 2026-09-08

Cooperative Patent Classification, as currently assigned (one row per subclass).

Assignments and security interests

No recorded assignments or security interests on file for this patent.

USPTO bulk data: PatentsView granted patents, disambiguated (PVGPATDIS) for patents, assignees, inventors, places and CPC categories; the USPTO Patent Assignment Dataset (ECORSEXC) for assignments and security interests. Patents filed in the last 20 years. No claims or full text. Links to other records are by name (and state): EXACT means the identical full name and state; FUZZY means a looser name match, with the confidence shown.