Measuring disagreement in segments of the cybersecurity profession as a means of identifying vulnerabilities
| dc.contributor.author | Scalco, Aleksandra, author | |
| dc.contributor.author | Simske, Steven J., advisor | |
| dc.contributor.author | Cale, James, committee member | |
| dc.contributor.author | Herber, Daniel, committee member | |
| dc.contributor.author | Dik, Bryan J., committee member | |
| dc.date.accessioned | 2022-05-30T10:22:29Z | |
| dc.date.available | 2022-05-30T10:22:29Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | Disagreement exists among different groups of professionals about remediation of control system vulnerability due to discrepancies in engineering practice, paradigms, processes, and culture. Quantification of agreement among professionals is needed to increase understanding of areas where divergence arises. This need to quantify agreement is particularly among control system Operational Technology (OT) and business enterprise Information Technology (IT) professions. The control system OT workforce does not fully understand the relative vulnerability of each element of its system. Likewise, the business enterprise IT workforce does not widely understand control system assets that control critical infrastructure to achieve cybersecurity assurance. This disagreement among professionals leads to misalignment, which results in vulnerability. Similarly, known vulnerability can inform alignment and bring about agreement among professionals. The exposure induced by misalignment may be greater than innate system design vulnerability. This research introduces an analytical model and methodology for measuring multi-concern assurance among different groups of professions through the statistical uncertainty analysis of Likert and semantic differential scales used for interpreting the scores to identify specific areas of vulnerability. | |
| dc.format.medium | born digital | |
| dc.format.medium | doctoral dissertations | |
| dc.identifier | Scalco_colostate_0053A_17054.pdf | |
| dc.identifier.uri | https://hdl.handle.net/10217/235279 | |
| dc.language | English | |
| dc.language.iso | eng | |
| dc.publisher | Colorado State University. Libraries | |
| dc.relation.ispartof | 2020- | |
| dc.rights | Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright. | |
| dc.subject | critical infrastructure | |
| dc.subject | digital transformation | |
| dc.subject | vulnerability | |
| dc.subject | cybersecurity | |
| dc.subject | control systems | |
| dc.subject | multi-concern assurance | |
| dc.title | Measuring disagreement in segments of the cybersecurity profession as a means of identifying vulnerabilities | |
| dc.type | Text | |
| dcterms.rights.dpla | This Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). | |
| thesis.degree.discipline | Systems Engineering | |
| thesis.degree.grantor | Colorado State University | |
| thesis.degree.level | Doctoral | |
| thesis.degree.name | Doctor of Philosophy (Ph.D.) |
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