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DOE OSTI · 3364114

SEAFORML (Smart Exploration and Analysis For Optimal and Robust Machine Learning)

Foster, Rita A [Idaho National Laboratory]·Wortham, Jason George [Idaho National Laboratory]
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Abstract

The poster discusses data analysis of the WAVgraph database and applied machine learning methods for it. The database is a long-term project that seeks to be a comprehensive repository of information on cyber threats and is updated regularly. It was previously unanalyzed and unexplored. The goal was to learn more about it and its contents in order to have a better understanding and enable better use. The data analysis and discovery enabled further exploration through natural language processing, similarity, and clustering methods. The poster shows some of the insights from the analysis and explains the methods used for the machine learning applications.

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24 - POWER TRANSMISSION AND DISTRIBUTIONBig DataCybersecurityData AnalysisGraph DatabasesMachine LearningNatural Language ProcessingRoBERTaSTIGSTIXWAVgraph

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Foster, Rita A [Idaho National Laboratory], Wortham, Jason George [Idaho National Laboratory]. 2025-08-12. SEAFORML (Smart Exploration and Analysis For Optimal and Robust Machine Learning). https://www.osti.gov/biblio/3364114

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