Quality of Information Assurance - Assessment, Management and Use (QIAAMU)

Abstract

This project aims to demonstrate the feasibility of run-time mission-oriented assessment of assurance and tradeoff in a distributed system. Distributed mission support systems today incorporate various QoS and security mechanisms, but there is no clear way to judge whether the system is delivering QoS and security assurance at the level needed for mission success. Security is treated as an "all or nothing" quality--which leads to missed opportunities as well as undue risk taking. Measuring security is difficult. QIAAMU took an approach similar to QoS management where assurance is measured against requirements specified by mission stakeholders. This approach enables us to treat QoS and security in a uniform way as well as consider QoS-Security tradeoffs when the system fails to deliver QoS and Security at the required level. Starting with the metrics to observe and measure, this project developed a foundation for run time assessment and tradeoff including an assessment scheme, an innovative distributed tradeoff algorithm and usability support, and instantiated the assessment and tradeoff framework within a security architecture, which underwent a final demonstration and evaluation phase in December 2012. This report is the final technical report for the QIAAMU project and describes the research, development, and evaluation results from the project.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2013
Accession Number
ADA584581

Entities

People

  • Amy Fedyk
  • Emily Hahn
  • Hala Mostafa
  • Kathryn Mcguire
  • Mathew Tancreti
  • Michael Atighetchi
  • Nathan Dautenhahn
  • Nathaniel Soule
  • Nicholas J. Hoff
  • Partha Pal
  • Paul Rubel
  • Robin Berthier
  • William Sanders

Organizations

  • RTX

Tags

Communities of Interest

  • Biomedical
  • C4I
  • Cyber
  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Communication Channels
  • Computational Science
  • Computers
  • Cybersecurity
  • Data Mining
  • Databases
  • Demography
  • Electronic Mail
  • Information Processing
  • Information Science
  • Information Systems
  • Machine Learning
  • Network Protocols
  • Operating Systems
  • Security Protocols
  • Test And Evaluation

Fields of Study

  • Computer science

Readers

  • Computer Networking
  • Cybersecurity.
  • Software Engineering.