Doktorarbeit / Dissertation, 2022
219 Seiten, Note: First
This thesis explores the design and development of secure and privacy-preserving frameworks for Internet of Things (IoT)-enabled networks. The focus is on addressing the unique challenges posed by the inherent characteristics of IoT systems, such as resource constraints, heterogeneous devices, and data sensitivity.
Chapter 1: Introduction provides an overview of the research topic, highlighting the motivation, challenges, contributions, and thesis organization.
Chapter 2: Related Work presents a comprehensive review of existing research on security and privacy in IoT. This chapter examines various security threats and attacks, existing privacy-preserving techniques, and existing solutions for IoT security.
Chapter 3: Secure Authentication and Access Control in IoT focuses on developing secure authentication and access control mechanisms for IoT devices. This chapter proposes novel schemes to address the authentication and authorization challenges in resource-constrained IoT environments.
Chapter 4: Privacy-Preserving Data Collection and Aggregation in IoT explores techniques for secure and privacy-preserving data collection and aggregation in IoT systems. This chapter presents frameworks and mechanisms to protect sensitive data while enabling effective data analysis.
This thesis focuses on the design and development of secure and privacy-preserving frameworks for Internet of Things (IoT)-enabled networks. Key concepts include secure authentication, access control, privacy-preserving data collection, aggregation, and security analysis.
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