醫療物聯網（IoMT）在醫學、保健和健康領域是充滿希望的未來。它可以實現醫療數據的無縫通信，並允許患者留在自己的位置便能獲得遠端服務提供者所提供的醫療保健服務。它的可負擔性、簡單性、可用性、可存取性和可集成性等特性帶給其用戶諸多獲益。儘管IoMT提供了許多優勢，但也面臨許多方面的挑戰，例如保護機制，安全有效的演算法，能量效率，互通性標準化管理事宜，隱私和數據收集管理所有權之信任等等。有效的演算法，有效的身份驗證和存取控制機制可以幫助解決保護數據並降低整體能量消耗等問題，同時提供數據機密性、完整性和可用性。因此，本論文分析了IoMT中運算技術的各種特徵、環境及其挑戰，並提出了一系列適用於IoMT環境中針對智能醫療服務之安全、高效、可擴展、完整之認證金鑰協商，且提供使用者隱私保護。

The Internet of Medical Things (IoMTs) is a promising future in the area of medicine, healthcare and wellness. It enables seamless communication of medical data and allows patients to stay in their own place while receiving health care services from service providers. Its affordability, simplicity, availability, accessibility, and integrability bring many benefits to its user. Despite many advantages offered by IoMTs, there are also many challenging aspects in IoMTs, such as protection mechanisms, secure-and-efficient algorithms, energy efficiency, interoperability-standardization-regulatory affairs, privacy, and trust: data collection-management-ownership. Effective algorithms, efficient authentication, and access control mechanisms can help solving the issues, protecting the data and reducing the overall energy consumption, while at the same time providing data confidentiality, integrity and availability.
This dissertation analyzes various characteristics of computing technologies in IoMTs environments and its challenges, and presents a series of secure, efficient, scalable and complete authenticated key agreements for smart healthcare services in IoMTs environments with privacy protection for its user.

Acknowledgment

Abstract

Table of Contents

List of Figures

List of Tables


Chapter 1. Introduction to the study

1.1. Internet of Medical Things

1.2. The ecosystems of IoMTs
1.2.1. IoMTs sensor devices
1.2.2. IoMTs edge computing
1.2.3. IoMTs cloud computing

1.3. Electronic Health Records

1.4. Motivation and the scope of the study

1.5. Significance of the study


Chapter 2. Related works

2.1. Challenges and limitations of IoMTs
2.1.1. Security mechanisms
2.1.2. Secure and efficient algorithms
2.1.3. Energy efficiency
2.1.4. Interoperability, standardization, and regulatory affairs
2.1.5. Privacy
2.1.6. Trust: data collection, management, and ownership

2.2. Authentication and key agreements
2.2.1. The enhanced Chebyshev polynomial and extended chaotic maps
2.2.2. Dynamic pseudonym identity
2.2.3. ID-based public key cryptography
2.2.4. One-way hash function cryptography

2.3. Security analysis
2.3.1. Informal analysis
2.3.2. Burrows-Abadi-Needham (BAN) Logic


Chapter 3. Enhancing dynamic identity based authentication and key agreement using extended chaotic maps for telecare medicine information systems

3.1. Preliminaries

3.2. The authentication scheme of Wang et al.
3.2.1 Initialization phase
3.2.2 Registration phase
3.2.3 Login phase
3.2.4 Verification phase
3.2.5 Password-Change Phase

3.3. Limitations of the scheme of Wang et al.
3.3.1. Violation of session key security
3.3.2. Violation of user anonymity
3.3.3. Vulnerability to offline password guessing attack
3.3.4. Vulnerability to user impersonation attack

3.4. Proposed dynamic identity based authentication and key agreement scheme for TMIS
3.4.1. Initialization Phase
3.4.2. Registration Phase
3.4.3. Login Phase
3.4.4. Verification Phase

3.5. Security analysis
3.5.1. User anonymity
3.5.2. Mutual authentication
3.5.3. Session-key security
3.5.4. Known-key security
3.5.5. Perfect forward secrecy
3.5.6. Resisting password guessing attacks
3.5.7. Resisting user impersonation attacks
3.5.8. Resisting server spoofing attacks
3.5.9. Resisting replay attacks
3.5.10. Resisting man-in-the-middle attacks
3.5.11. Resisting stolen verifier attacks

3.6. Performance and functionality analysis
3.6.1. Performance comparisons
3.6.2. Functionality comparisons


Chapter 4. A lightweight dynamic pseudonym identity based authentication and key agreement scheme using wireless sensor networks for agriculture monitoring

4.1. Wireless Sensor Networks

4.2. Preliminaries

4.3. The scheme of Ali et al.
4.3.1. System setup phase
4.3.2. User/agriculture professional registration phase
4.3.3. Login phase
4.3.4. Authentication and session key agreement phase
4.3.5. Password updates or change phase
4.3.6. Dynamic node addition phase

4.4. Weaknesses of the scheme of Ali et al.
4.4.1. Violation of user traceability
4.4.2. Insider attack
4.4.3. Denial of services as a Service in authentication and key agreement phase

4.5. The proposed authentication and key-agreement scheme using WSNs for agriculture monitoring
4.5.1. User/agriculture professional registration phase
4.5.2. Login phase
4.5.3. Authentication and session key agreement phase
4.5.4. Password updates or change phase

4.6. Security analysis
4.6.1. Authentication proof of the proposed scheme using BAN logic
4.6.2. Informal security analysis

4.7. Performance and functionality analysis
4.7.1. Functionality comparisons
4.7.2. Performance comparisons


Chapter 5. Lightweight identity-based group key agreements using extended chaotic maps for Wireless Sensor Networks

5.1. Preliminaries

5.2. Proposed ID-based group key agreement scheme for WSNs
5.2.1. Proposed ID-based group key agreement scheme for WSNs
5.2.2. Proposed ID-based group key agreement scheme with PFS for WSNs

5.3. Security analysis
5.3.1. Security analysis of the proposed ID-based group authenticated key agreement scheme without perfect forward secrecy
5.3.2. Security analysis of the proposed ID-based group authenticated key agreement protocol with perfect forward secrecy

5.4. Performance and functionality analysis
5.4.1. Performance comparisons
5.4.2. Functionality comparisons


Chapter 6. Anonymous group-oriented time-bound key agreement scheme for Internet of Medical Things in telemonitoring using chaotic-maps

6.1. Preliminaries

6.2. Group-oriented time-bound key agreement for IoMTs in telemonitoring services

6.3. The system model

6.4. The scheme of Chien
6.4.1. Device registration phase
6.4.2. The authentication and key agreement phase
6.4.3. The authentication and key agreement phase of other members from the same group

6.5. Limitations of Chien’s scheme and how the proposed scheme tackles the challenges
6.5.1. Computational cost of bilinear-pairing
6.5.2. Lack of user-privacy and user-traceability
6.5.3. Disadvantages of secure channel for IoT environment
6.5.4. Slower detection of abnormal physical signs
6.5.5. Less efficient of message transmissions

6.6. The proposed scheme
6.6.1. The device registration
6.6.2. The authentication and key agreement phase
6.6.3. The authentication and key agreement phase of other members from the same group

6.7. Security analysis
6.7.1. Authentication proof of the proposed scheme using the BAN Logic
6.7.2. Informal Security Analysis

6.8. Performance and functionality analysis
6.8.1. Functionality Analysis
6.8.2. Performance Analysis


Chapter 7. Conclusion and future researches

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