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Dissertation/Thesis Abstract

Fusia: Future situation and impact awareness
by Holsopple, Jared, Ph.D., State University of New York at Buffalo, 2016, 193; 10127757
Abstract (Summary)

Future Situation and Impact Awareness: FuSIA is a mission-centric framework using uncertain observables to determine the current and future impact for critical missions in an application such as protecting a computer network or protecting critical entities in a military environment. FuSIA serves to provide an implement of a domain-agnostic, yet domain-configurable, framework for higher level data fusion processes such as situation, impact, and threat assessment.

FuSIA ingests groupings of observables called attack tracks to estimate the current state of the assets in the given environment using state estimation. The state estimates can be combined across various in different ways to account for uncertainty through the use of the common mass function, which can be converted into a mission impact score. These assessments can then be processed by a mission tree that calculates the estimated impact of the critical missions, which is modeled by a mission tree. The mission tree uses a modification to the Yager Order-Weighted Aggregators to propagate not only the impact, but also uncertainty into the higher-level missions. The effectiveness of the mission impact calculations was also analyzed to determine how sensitive it was to different levels of uncertainty pertaining to different observables.

In addition to calculating current mission impact, FuSIA also generates a list of possible futures indicating events that could come to fruition in the near future. This list is pruned down to a human-manageable level through a process that involves assessing the likelihood of the futures using capability and opportunity metrics.

Finally, FuSIA solves a mixed-integer linear optimization problem for individual nodes on the mission tree while providing a heuristic algorithm to determine an optimal set of enforcers, actions that can be taken to improve a mission, to deploy so as the improve the overall state of the mission.

Indexing (document details)
Advisor: Sudit, Moises
Commitee: Karwan, Mark, Upadhyaya, Shambu, Yang, Shanchieh
School: State University of New York at Buffalo
Department: Industrial Engineering
School Location: United States -- New York
Source: DAI-B 77/10(E), Dissertation Abstracts International
Subjects: Operations research
Keywords: Cyber security, Data fusion, Impact assessment, Information fusion, Situation assessment, Threat assessment
Publication Number: 10127757
ISBN: 978-1-339-85789-3
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