Engineering Ecosystems of Systems: UML Profile, Credential Design, and Risk-balanced Cellular Access Control
| dc.contributor.author | Bissessar, David | |
| dc.contributor.supervisor | Adams, Carlisle | |
| dc.date.accessioned | 2021-12-14T18:36:54Z | |
| dc.date.available | 2021-12-14T18:36:54Z | |
| dc.date.issued | 2021-12-14 | en_US |
| dc.description.abstract | This thesis proposes an Ecosystem perspective for the engineering of SoS and CPS and illustrates the impact of this perspective in three areas of contribution category First, from a conceptual and Systems Engineering perspective, a conceptual framework including the Ecosystems of System Unified Language Modeling (EoS-UML) profile, a set of Ecosystem Ensemble Diagrams, the Arms :Length Trust Model and the Cyber Physical Threat Model are provided. Second, having established this conceptual view of the ecosystem, we recognize unique role of the cryptographic credentials within it, towards enabling the ecosystem long-term value proposition and acting as a value transfer agent, implementing careful balance of properties meet stakeholder needs. Third, we propose that the ecosystem computers can be used as a distributed compute engine to run Collaborative Algorithms. To demonstrate, we define access control scheme, risk-balanced Cellular Access Control (rbCAC). The rbCAC algorithm defines access control within a cyber-physical environment in a manner which balances cost, risk, and net utility in a multi-authority setting. rbCAC is demonstrated it in an Air Travel and Border Services scenario. Other domains are also discussed included air traffic control threat prevention from drone identity attacks in protected airspaces. These contributions offer significant material for future development, ongoing credential and ecosystem design, including dynamic perimeters and continuous-time sampling, intelligent and self optimizing ecosystems, runtime collaborative platform design contracts and constraints, and analysis of APT attacks to SCADA systems using ecosystem approaches. | en_US |
| dc.identifier.uri | http://hdl.handle.net/10393/43028 | |
| dc.identifier.uri | http://dx.doi.org/10.20381/ruor-27245 | |
| dc.language.iso | en | en_US |
| dc.publisher | Université d'Ottawa / University of Ottawa | en_US |
| dc.subject | cryptography | en_US |
| dc.subject | digital credentials | en_US |
| dc.subject | biometrics | en_US |
| dc.subject | fuzzy extractors | en_US |
| dc.subject | ecosystems | en_US |
| dc.subject | systems engineering | en_US |
| dc.subject | UML | en_US |
| dc.subject | EoS-UML | en_US |
| dc.subject | digital credential design | en_US |
| dc.subject | rbCAC | en_US |
| dc.subject | SoS | en_US |
| dc.subject | Systems of Systems | en_US |
| dc.subject | CPS | en_US |
| dc.subject | Cyber-physical Systems | en_US |
| dc.subject | Distributed Computing | en_US |
| dc.subject | Collaborative Computing | en_US |
| dc.subject | Design by Contract | en_US |
| dc.subject | Design by Smart Contract | en_US |
| dc.subject | risk-balanced Collaborative Access Control | en_US |
| dc.subject | rbCAC | en_US |
| dc.subject | Ecosystem Ensemble Diagram | en_US |
| dc.subject | Confusion Matrix | en_US |
| dc.subject | Classifier Evaluation | en_US |
| dc.subject | Emergent Behavior | en_US |
| dc.subject | Ecosystems Enginering | en_US |
| dc.title | Engineering Ecosystems of Systems: UML Profile, Credential Design, and Risk-balanced Cellular Access Control | en_US |
| dc.type | Thesis | en_US |
| thesis.degree.discipline | Génie / Engineering | en_US |
| thesis.degree.level | Doctoral | en_US |
| thesis.degree.name | PhD | en_US |
| uottawa.department | Science informatique et génie électrique / Electrical Engineering and Computer Science | en_US |
