Data Trust Methodology: A Blockchain-Based Approach to Instrumenting Complex Systems

Abstract

Increased data sharing and interoperability has created challenges in maintaining a level of trust and confidence in Department of Defense (DoD) systems. As tightly-coupled, unique, static, and rigorously validated mission processing solutions have been supplemented with newer, more dynamic, and complex counterparts, mission effectiveness has been impacted. On the one hand, newer deeper processing with more diverse data inputs can offer resilience against overconfident decisions under rapidly changing conditions. On the other hand, the multitude of diverse methods for reaching a decision may be in apparent conflict and decrease decision confidence. This has sometimes manifested itself in the presentation of simultaneous, divergent information to high-level decision makers. In some important specific instances, this has caused the operators to be less efficient in determining the best course of action.

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Document Details

Document Type
Technical Report
Publication Date
Aug 05, 2020
Accession Number
AD1147828

Entities

People

  • A. A. Prasov
  • A. R. Wright
  • B. J. Courville
  • C. Flood
  • F. P. Hunsberger
  • G. C. Augeri
  • J. Hallapy
  • J. T. Miller

Organizations

  • MIT Lincoln Laboratory

Tags

Communities of Interest

  • Autonomy
  • Cyber
  • Engineered Resilient Systems
  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Anomaly Detection
  • Application Software
  • Authentication
  • Blockchain
  • Change Detection
  • Complex Systems
  • Computer Programming
  • Computer Programs
  • Cryptocurrency
  • Data Analysis
  • Data Centers
  • Data Processing
  • Department Of Defense
  • Detection
  • Distributed Ledger
  • Information Processing
  • Information Science
  • Machine Learning
  • Reliability
  • Smart Contracts

Readers

  • Cybersecurity.
  • Systems Analysis and Design
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.