Paper
30 April 2009 Developing methods for timely and relevant mission impact estimation
Michael R. Grimaila, Larry W. Fortson Jr., Janet L. Sutton, Robert F. Mills
Author Affiliations +
Abstract
Military organizations embed information systems and networking technologies into their core mission processes as a means to increase operational efficiency, improve decision making quality, and shorten the "kill chain". Unfortunately, this dependence can place the mission at risk when the loss or degradation of the confidentiality, integrity, availability, non-repudiation, or authenticity of a critical information resource or flow occurs. Since the accuracy, conciseness, and timeliness of the information used in command decision making processes impacts the quality of these decisions, and hence, the operational mission outcome; it is imperative to explicitly recognize, quantify, and document critical missioninformation dependencies in order to gain a true appreciation of operational risk. We conjecture what is needed is a structured process to provide decision makers with real-time awareness of the status of critical information resources and timely notification of estimated mission impact, from the time an information incident is declared, until the incident is fully remediated. In this paper, we discuss our initial research towards the development of a mission impact estimation engine which fuses information from subject matter experts, historical mission impacts, and explicit mission models to provide the ability to estimate the mission impacts resulting from an information incident in real-time.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michael R. Grimaila, Larry W. Fortson Jr., Janet L. Sutton, and Robert F. Mills "Developing methods for timely and relevant mission impact estimation", Proc. SPIE 7348, Modeling and Simulation for Military Operations IV, 73480F (30 April 2009); https://doi.org/10.1117/12.819116
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Cited by 4 scholarly publications.
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KEYWORDS
Process modeling

Document management

Data processing

Information technology

Situational awareness sensors

Statistical analysis

Cognitive modeling

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