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dc.contributor.advisorCarvalho, Marco
dc.contributor.authorMammadov, Samir
dc.date.accessioned2017-05-18T16:09:35Z
dc.date.available2017-05-18T16:09:35Z
dc.date.issued2017-05
dc.identifier.urihttp://hdl.handle.net/11141/1425
dc.descriptionThesis (M.S.) - Florida Institute of Technology, 2017en_US
dc.description.abstractWhile looking for a high-level adaptive traffic generation tool, we came to realize that no such tool exists that can be used for rapid development while being platform agnostic. Having reviewed a wide array of tools to either implement user models or simulate traffic, we were unable to find a tool with the right capabilities while maintaining complexity, portability and extensibility. To overcome these issues, we introduce a new adaptive user-modelling framework for the specific use case of cyber activity emulation. Our framework supports the creation of high-level user models that can react to changes in their environments and vary the way they emulate cyber activity based on those changes. We review the problems with the current tools and show how our behaviour tree based solution can be used to achieve our goals in an illustrative scenario showcasing the framework’s adaptability – a key feature most other tools are lacking. Furthermore, we show that our framework is also extensible, portable, and more conducive to rapid development than other user modelling tools currently available.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.rightsCopyright held by author.en_US
dc.titleHigh Fidelity Adaptive Cyber Emulationen_US
dc.typeThesisen_US
dc.date.updated2017-05-09T17:44:20Z
thesis.degree.nameMaster of Science in Information Assurance & Cybersecurityen_US
thesis.degree.levelMastersen_US
thesis.degree.disciplineInformation Assurance & Cybersecurityen_US
thesis.degree.departmentCybersecurity and Data Sciencesen_US
thesis.degree.grantorFlorida Institute of Technologyen_US
dc.type.materialtext


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