Cyberspace Operations Functional Capability Reference Architecture from Document Text
Name
Moulten, Madnick, Choucri, (2020) Cyberspace Operations Functional Capability Reference Architecture from Document Text.pdf
Description
Final published version.
Size
721.72 KB
Format
Adobe PDF
Checksum (MD5)
03f6bbcfa197ffbbb2bf5143d2d8c7d3
Author(s)
Moulton, Allen
Madnick, Stuart. E.
Choucri, Nazli
Date Issued
September 2020
Publisher
© MIT Sloan School of Management
Citation
Moulton, A., Madnick, S. E., & Choucri, N. (2020). Cyberspace operations functional capability reference architecture from document text (Working Paper CISL# 2020-24). MIT Sloan School of Management.
Series/Report no.
CISL Working Paper;2020-24
Abstract
The COMET project applies structured text analysis, semantic similarity and ontology learning theory, along with NLP to investigate automated and semi-automated methods for extracting knowledge from text policy documents and transforming that knowledge into a structured form for use in a Functional Capability Reference Architecture (FCRA) for cyberspace operations. Progress and results are reported.
Cyber-physical systems are increasingly significant to modern life. In the military, the advent of net-centric systems means that virtually all operations critically depend on computers and networks (Williams, 2014). The operation of the electric power grid is moving in the same direction (GAO, 2019) as are most other industries. As Choucri and Clark (2019) document, cyberspace has also become increasingly intertwined in international politics. To make cyber- physical systems more effective and to protect from threats that put critical services at risk, organizations rely on policy documents which are written from different perspectives often using different terminology. In many cases, terminology is metaphorical such as maneuver, attack and defense, which draw on analogies to concepts from physical domain military operations. A FCRA will support knowledge transfer across different subject areas and organizations by harmonizing and clarifying concepts (Cloutier et al., 2010).
Subjects
Cybersecurity, Reference Architecture, NLP, Semantics, Defense
Terms of Use
Attribution-NonCommercial-NoDerivs 3.0 United States
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