Intelligent trust management methodology for the internet of things (IoT) to enhance cyber security
Year: 2019
Type: dissertation
Abstract: To validate the proposed solutions in this thesis, simulations were conducted using Contiki network simulator for IoT environment (Cooja), which able to simulate large networks.Using the built prototype, I have evaluated and simulated our proposed solutions for the above-mentioned problems by using Cooja and C++ programming language.The obtained results demonstrate the effectiveness of the TM-IoT and also that of the algorithms in achieving their respective goals. Chapter 1: Introduction CHAPTER 1How do I validate the developed solution for its scalability and reliability for the IoT framework?I need to test our approach to ensure that it is scalable and it is validated well by using a prototype-based approach and an appropriate programming language. RESEARCH OBJECTIVESIn order to address the above mentioned research questions, the main objectives of this thesis is as follows:Research Objective 1:To develop an intelligent trust management platform for IoT that is intelligent and memory-efficient in assisting the IoT nodes communicate in a trusted environment. Research Objective 2:To develop an intelligent scalable trust management platform for IoT. Research Objective 3:To develop intelligent approaches to counter cyber security attacks on the proposed IoT trust management approach. Research Objective 4:To validate the above solutions using a prototype framework and test its performance along various identified benchmarks.
Author: Mohammad Dahman Alshehri
Language: English
Topic: Access Control and Trust
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Funder: Australian Government
OpenAlex ID: W2950548742