dc.contributor.author | Moulton, Allen | |
dc.contributor.author | Madnick, Stuart. E. | |
dc.contributor.author | Choucri, Nazli | |
dc.date.accessioned | 2022-07-30T04:43:51Z | |
dc.date.available | 2022-07-30T04:43:51Z | |
dc.date.issued | 2020-09 | |
dc.identifier.uri | http://dx.doi.org/10.2139/ssrn.3701295 | |
dc.identifier.uri | https://hdl.handle.net/1721.1/144159 | |
dc.description.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). | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | © MIT Sloan School of Management | en_US |
dc.relation.ispartofseries | CISL Working Paper;2020-24 | |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
dc.subject | Cybersecurity, Reference Architecture, NLP, Semantics, Defense | en_US |
dc.title | Cyberspace Operations Functional Capability Reference Architecture from Document Text | en_US |
dc.type | Working Paper | en_US |
dc.identifier.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. | en_US |