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Introduction

Privacy-preserving biometric authentication is a crucial aspect of modern security systems, as it allows individuals to securely access their data and authenticate their identities without compromising their privacy. Biometric authentication involves the use of unique physical or behavioral characteristics, such as fingerprints, facial features, or voice patterns, to verify a person’s identity. While biometric authentication offers a high level of security, there are concerns about the privacy implications of storing and sharing biometric data.

This thesis aims to explore various techniques and strategies for ensuring privacy in biometric authentication systems. The research will investigate different privacy-preserving methods such as secure multi-party computation, homomorphic encryption, and biometric template protection. The objective is to design a system that balances the need for security with the protection of users’ privacy rights.

Chapter 1: Introduction
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 Overview of biometric authentication systems
2.2 Privacy concerns in biometric authentication
2.3 Existing privacy-preserving biometric authentication techniques
2.4 Secure multi-party computation
2.5 Homomorphic encryption
2.6 Biometric template protection
2.7 Privacy regulations and standards
2.8 Biometric data security
2.9 User acceptance of privacy-preserving biometric authentication
2.10 Future trends in privacy-preserving biometric authentication

Chapter 3: System Design and Methodology
3.1 System architecture
3.2 Data collection and preprocessing
3.3 Feature extraction and template creation
3.4 Privacy-preserving algorithms
3.5 Integration of biometric authentication with existing systems
3.6 Performance evaluation metrics
3.7 Implementation of privacy policies
3.8 Ethical considerations

Chapter 4: System Implementation
4.1 Implementation of privacy-preserving biometric authentication techniques
4.2 Testing and evaluation of the system
4.3 User feedback and usability testing
4.4 Performance analysis
4.5 Security and privacy audit
4.6 System scalability and adaptability
4.7 Maintenance and updates
4.8 Challenges and limitations

Chapter 5: Conclusion and Summary
5.1 Summary of key findings
5.2 Achievements and contributions
5.3 Future research directions
5.4 Conclusion

Thesis Overview on Privacy-preserving Biometric Authentication

Privacy-preserving biometric authentication is a critical research area that addresses the balance between security and privacy in biometric systems. With the increasing use of biometric technologies in various applications, ensuring the protection of individuals’ biometric data has become a pressing concern. This thesis will explore different methods and techniques for preserving privacy in biometric authentication systems, focusing on secure multi-party computation, homomorphic encryption, and biometric template protection.

Chapter one provides an introduction to the topic, outlining the background of the study, problem statement, objectives, limitations, scope, significance, and structure of the thesis. Chapter two presents a comprehensive literature review on biometric authentication systems, privacy concerns, existing privacy-preserving techniques, privacy regulations, user acceptance, and future trends.

Chapter three details the system design and methodology, including the system architecture, data collection, feature extraction, privacy-preserving algorithms, performance evaluation, and ethical considerations. Chapter four focuses on the system implementation, covering the implementation of privacy-preserving techniques, testing, user feedback, performance analysis, security audit, scalability, and maintenance.

Lastly, chapter five offers a conclusion and summary of the thesis, highlighting key findings, achievements, future research directions, and overall conclusions. The thesis aims to contribute to the advancement of privacy-preserving biometric authentication systems, addressing the critical need for secure and privacy-aware biometric technologies in today’s digital world.

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