Fine-grained Access Control for Internet of Things Smart Spaces Driven by User Inputs
2021 doctoral thesis by Mohammed Al-Shaboti at Victoria University of Wellington
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Summary
Fine-grained Access Control for Internet of Things Smart Spaces Driven by User Inputs is a doctoral thesis[1].
Key Facts
- Fine-grained Access Control for Internet of Things Smart Spaces Driven by User Inputs authored Mohammed Al-Shaboti[2].
- Fine-grained Access Control for Internet of Things Smart Spaces Driven by User Inputs's instance of is recorded as doctoral thesis[3].
- Fine-grained Access Control for Internet of Things Smart Spaces Driven by User Inputs was published by Open Access Repository Victoria University of Wellington[4].
- Fine-grained Access Control for Internet of Things Smart Spaces Driven by User Inputs's copyright license is recorded as Creative Commons Attribution-ShareAlike 4.0 International[5].
- Fine-grained Access Control for Internet of Things Smart Spaces Driven by User Inputs's language of work or name is recorded as English[6].
- Fine-grained Access Control for Internet of Things Smart Spaces Driven by User Inputs's country of origin is recorded as New Zealand[7].
- Fine-grained Access Control for Internet of Things Smart Spaces Driven by User Inputs was published on September 3, 2021[8].
- Fine-grained Access Control for Internet of Things Smart Spaces Driven by User Inputs's main subject is computer security[9].
- Fine-grained Access Control for Internet of Things Smart Spaces Driven by User Inputs's main subject is Internet of things[10].
- Fine-grained Access Control for Internet of Things Smart Spaces Driven by User Inputs's main subject is security[11].
- Fine-grained Access Control for Internet of Things Smart Spaces Driven by User Inputs's title is recorded as Fine-grained Access Control for Internet of Things Smart Spaces Driven by User Inputs[12].
- Fine-grained Access Control for Internet of Things Smart Spaces Driven by User Inputs's copyright holder is recorded as Mohammed Al-Shaboti[13].
- Fine-grained Access Control for Internet of Things Smart Spaces Driven by User Inputs's thesis submitted to is recorded as Victoria University of Wellington[14].
- Fine-grained Access Control for Internet of Things Smart Spaces Driven by User Inputs's on focus list of Wikimedia project is recorded as NZThesisProject[15].
- Fine-grained Access Control for Internet of Things Smart Spaces Driven by User Inputs's copyright status is recorded as copyrighted[16].
- Fine-grained Access Control for Internet of Things Smart Spaces Driven by User Inputs's copyright status is recorded as copyrighted[17].
- Fine-grained Access Control for Internet of Things Smart Spaces Driven by User Inputs's thesis committee member is recorded as Aaron Chen[18].
- Fine-grained Access Control for Internet of Things Smart Spaces Driven by User Inputs's thesis committee member is recorded as Ian Welch[19].
- Fine-grained Access Control for Internet of Things Smart Spaces Driven by User Inputs's thesis submitted for degree is recorded as Doctor of Philosophy[20].
Body
Authorship and Creation
Fine-grained Access Control for Internet of Things Smart Spaces Driven by User Inputs authored Mohammed Al-Shaboti[2]. It was published by Open Access Repository Victoria University of Wellington[4].
Publication
Fine-grained Access Control for Internet of Things Smart Spaces Driven by User Inputs was published on September 3, 2021[8]. Its language of work or name is recorded as English[6].
Subject and Themes
Main subjects include computer security[9], Internet of things[10], and security[11].