Doktorarbeit / Dissertation, 2021
199 Seiten, Note: A
This thesis aims to design and develop a novel blockchain framework that addresses the critical challenges of security, privacy, and scalability in blockchain technology. The research explores existing blockchain solutions, analyzes their limitations, and proposes a robust framework that enhances security, preserves user privacy, and scales effectively to handle large-scale transactions.
The thesis begins by providing a comprehensive overview of blockchain technology, highlighting its advantages and limitations, particularly in the context of security, privacy, and scalability. It then delves into various privacy-preserving techniques, exploring their suitability for enhancing blockchain systems. The proposed framework is presented in detail, outlining its architecture, security mechanisms, privacy-preserving approaches, and scalability solutions. The implementation and evaluation section focuses on the development of a prototype, its performance analysis, and an assessment of its security and privacy aspects. Finally, the thesis discusses potential applications of the proposed framework across diverse domains, including supply chain management, healthcare, and e-voting, showcasing its real-world relevance.
Blockchain, Security, Privacy, Scalability, Cryptography, Distributed Ledger Technology, Smart Contracts, Privacy-Preserving Techniques, Performance Evaluation, Applications, Use Cases.
The three key challenges identified are privacy (protecting sensitive data), security (authorized access), and scalability (handling large volumes of data and transactions).
It utilizes a secure distributed off-chain storage model (like IPFS) to store large data sets, keeping only essential metadata or hashes on the primary blockchain.
It is a two-level deployment approach for privacy preservation that distributes computing and storage tasks between cloud and fog layers to optimize performance and security.
The framework proposes advanced access control techniques that categorize both peers and resources, ensuring only authorized participants can access specific data.
The thesis highlights applications in healthcare (patient data), supply chain management (tracking), and e-voting systems.
Der GRIN Verlag hat sich seit 1998 auf die Veröffentlichung akademischer eBooks und Bücher spezialisiert. Der GRIN Verlag steht damit als erstes Unternehmen für User Generated Quality Content. Die Verlagsseiten GRIN.com, Hausarbeiten.de und Diplomarbeiten24 bieten für Hochschullehrer, Absolventen und Studenten die ideale Plattform, wissenschaftliche Texte wie Hausarbeiten, Referate, Bachelorarbeiten, Masterarbeiten, Diplomarbeiten, Dissertationen und wissenschaftliche Aufsätze einem breiten Publikum zu präsentieren.
Kostenfreie Veröffentlichung: Hausarbeit, Bachelorarbeit, Diplomarbeit, Dissertation, Masterarbeit, Interpretation oder Referat jetzt veröffentlichen!

