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.
Type:
Grant
Filed:
April 30, 2021
Date of Patent:
September 3, 2024
Assignees:
Arizona Board of Regents on Behalf of Arizona State University, Cyber Reconnaissance, Inc.
Abstract: Various embodiments of systems and methods for an at-risk system identification via analysis of discussions from various online hacker communities are disclosed herein.
Type:
Application
Filed:
June 28, 2023
Publication date:
May 30, 2024
Applicants:
Arizona Board of Regents on Behalf of Arizona State University, Cyber Reconnaissance, Inc.
Inventors:
Eric Nunes, Jana Shakarian, Paulo Shakarian, Mohammed Almukaynizi, Harshdeep Singh, Gerardo Simari, Anant Sharma
Abstract: Various embodiments of a system and associated method for determining a social structure in unstructured and/or structured social media forums are disclosed herein.
Type:
Application
Filed:
May 19, 2021
Publication date:
November 25, 2021
Applicants:
Arizona Board of Regents on Behalf of Arizona State University, Cyber Reconnaissance, Inc.