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Introduction

The rapid growth of the Internet of Things (IoT) industry has led to an increasing demand for secure and efficient authentication protocols for IoT devices. Traditional authentication mechanisms are no longer sufficient to protect the vast number of IoT devices connected to the internet. Software-defined networking (SDN) has emerged as a promising solution for managing and securing IoT networks. This thesis aims to design a secure and efficient authentication protocol for IoT devices using SDN.

1.1 Introduction
1.2 Background of study
1.3 Problem Statement
1.4 Objective of study
1.5 Limitation of study
1.6 Scope of study
1.7 Significance of study
1.8 Structure of the Thesis
1.9 Definition of terms

Chapter 2: Literature Review
2.1 Evolution of IoT and SDN
2.2 Authentication protocols for IoT devices
2.3 Challenges in securing IoT devices
2.4 SDN-based security solutions
2.5 Case studies on SDN implementation for IoT security
2.6 Comparison of existing authentication protocols
2.7 Machine learning in IoT security
2.8 Blockchain technology in IoT security
2.9 Current trends and future directions
2.10 Gaps in literature

Chapter 3: Research Methodology
3.1 Research design
3.2 Data collection methods
3.3 Data analysis techniques
3.4 SDN architecture for IoT authentication
3.5 Security requirements for IoT devices
3.6 Testing and validation procedures
3.7 Ethical considerations
3.8 Limitations of the research

Chapter 4: Discussion of Findings
4.1 Evaluation of existing authentication protocols
4.2 Design and implementation of SDN-based authentication protocol
4.3 Performance analysis of the proposed protocol
4.4 Comparison with existing solutions
4.5 Security vulnerabilities and countermeasures
4.6 User experience and usability
4.7 Scalability and adaptability of the protocol
4.8 Recommendations for future research

Chapter 5: Conclusion and Summary
5.1 Summary of key findings
5.2 Achievements of the research objectives
5.3 Contribution to knowledge
5.4 Implications for industry and academia
5.5 Limitations and future research directions

Thesis Overview:

The Internet of Things (IoT) is a rapidly growing industry that connects a vast number of devices to the internet. With this growth comes the need for secure and efficient authentication protocols to protect IoT devices from cyber threats. Traditional authentication mechanisms are no longer sufficient to handle the scale and complexity of IoT networks. This thesis focuses on designing a secure and efficient authentication protocol for IoT devices using software-defined networking (SDN).

The literature review explores the evolution of IoT and SDN, existing authentication protocols for IoT devices, challenges in securing IoT devices, and SDN-based security solutions. It also discusses the role of machine learning and blockchain technology in IoT security and identifies gaps in the existing literature.

The research methodology section outlines the research design, data collection methods, SDN architecture for IoT authentication, security requirements for IoT devices, and testing procedures. It also considers ethical considerations and limitations of the research.

The discussion of findings chapter evaluates existing authentication protocols, proposes a SDN-based authentication protocol, analyzes its performance, and compares it with existing solutions. It also addresses security vulnerabilities, user experience, scalability, and provides recommendations for future research.

In conclusion, this thesis makes a significant contribution to the field of IoT security by designing a novel authentication protocol using SDN. It provides insights into the challenges and opportunities in securing IoT devices and offers recommendations for future research in this area.

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