Tactical Blockchain to Provide Data Provenance in Support of Internet of Battlefield Things and Big Data Analytics
Abstract
This capstone project evaluated the use of blockchain technology to address a number of challenges with increasing amounts of disparate sensor data and an information-rich landscape that can quickly overwhelm effective decision-making processes. The team explored how blockchain can be used in a variety of defense applications to verify users, validate sensor data fed into artificial intelligence models, limit access to data, and provide an audit trail across the data life cycle. The team developed a conceptual design for implementing blockchain for tactical data, artificial intelligence, and machine learning applications; identified challenges and limitations involved in implementing blockchain for the tactical domain; described the benefits of blockchain for these various applications; and evaluated this projects findings to propose future research into a wider set of blockchain applications. The team did this through the development of three use cases. One use case demonstrated the use of blockchain at the tactical edge in a "data light" information environment. The second use case explored the use of blockchain in securing medical information in the electronic health record. The third use case studied blockchain's application in the use of multiple sensors collecting data for chemical weapons defense to support measurement and signature intelligence analysis using artificial intelligence and machine learning.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 2022
- Accession Number
- AD1200451
Entities
People
- Gregory Dogum
- Jonathan Novoa
- Kristin Jones Maia
- Michele Meszaros
- Rene Villarreal
Organizations
- Naval Postgraduate School