Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/447845
Title: | Enhanced trust management model For IOT and social IOT |
Researcher: | V,Geetha |
Guide(s): | Kumar,Avadhesh |
Keywords: | Computer Science Computer Science Artificial Intelligence Engineering and Technology |
University: | Galgotias University |
Completed Date: | 2022 |
Abstract: | The Internet of Things (IoT) is a system that allows things to detect and collect newlineessential data from the surrounding world and then exchange that information via the newlineinternet; the collected information can be analyzed and used for a range of purposes. The newlineIoT is an innovative way of thinking that has transformed traditional lifestyles into high-tech newlineones. Smart cities, smart homes, environmental management, energy conservation, smart newlinetransportation, and smart industries are examples of IoT-driven developments. Many newlineinteresting research works and studies have been conducted to improve technology via IoT. newlineIoT offers a consistent platform for people to engage with various physical and virtual newlineobjects, with adapted medical fields. The difficulty of access to health services, the growing newlinegeriatric people with chronic illness and their need for surveillance, rising medical newlineexpenditures, and telemedicine in underdeveloped nations make the IoT is an interesting newlinetopic in healthcare. In terms of mobile health and clinical decision support, IoT technology newlineoffers a professional and disciplined method to handling service delivery components of newlinehealthcare. This research considers a patient monitoring service and proposes a trust level newlinecomputation model based on trust properties. newline |
Pagination: | xv,105 |
URI: | http://hdl.handle.net/10603/447845 |
Appears in Departments: | School of Computing Science and Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 10.35 kB | Adobe PDF | View/Open |
02_prelim pages .pdf | 175.32 kB | Adobe PDF | View/Open | |
03_content.pdf | 20.56 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 20.04 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 445.84 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 228.86 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 534.6 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 579.2 kB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 374.5 kB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 90.94 kB | Adobe PDF | View/Open | |
11_annexures.pdf | 145.98 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 100.47 kB | Adobe PDF | View/Open |
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