Design Methodologies For 21ST Century Entity Correlation
Abstract
Modern war-fighters use automated tools for provisioning complete and consistent information about entity locations in their operations and threat environment. Next generation software correlation tools will have to process millions of entities per day in order to enhance war-fighter situational awareness. Current software correlation tools fuse entity information using purely mathematical algorithms and methods that do not take into account divergent data source precision, limitations, and origins. As a result of having no framework that accounts for these variables, when multiple, diverse data sources are ingested, the accuracy of a fused entity data deteriorates. This thesis aims to answer the question: How can next generation software tools be improved to provide future war-fighters the most accurate picture of their operations and threat environment possible? New model-based design practices and emerging theories of systems pathology will be used to examine the shortfalls of existing methods. Additionally, by designing enhanced data ingestion models and evaluating them against current methods, this thesis aims to demonstrate how the next generation of software correlation tools can measurably increase the accuracy of entity correlation, improving situational awareness for war-fighters of the future.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 2021
- Accession Number
- AD1164512
Entities
People
- Frank Watson
Organizations
- Naval Postgraduate School