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  4. Quasi-Decentralized System Design

Quasi-Decentralized System Design

File(s)
Ji_cornellgrad_0058F_14782.pdf (4.54 MB)
Permanent Link(s)
http://doi.org/10.7298/mzcg-da27
https://hdl.handle.net/1813/117146
Collections
Cornell Theses and Dissertations
Author
Ji, Yan
Abstract

Most of today's internet services are provided by centralized entities, which users trust to process their data and host services honestly. In contrast, blockchain technology has reintroduced a decentralized trust model, eliminating the need for a central authority. This model offers potential improvements in security through enhanced reliability, transparency, and availability. However, blockchain technology has mostly been confined to blockchain-specific applications with limited impact on real-world services. This is due to challenges in scalability, privacy limitations, and the need for better usability, fraud prevention, and regulatory oversight. This thesis aims to bridge the gap between blockchain technology and legacy centralized applications via quasi-decentralized systems. These systems retain a centralized operator while interacting with a blockchain to enhance security. This approach combines the strengths of both centralized and decentralized models to create more secure, reliable, and scalable systems. Specifically, this thesis explores quasi-decentralized system design from two perspectives: 1. Building quasi-decentralized applications with blockchains: This involves coordinating trusted execution environments (TEEs) with blockchains, as well as designing cryptographic primitives that enable distributed auditing by users 2. Exploring security considerations in blockchain incentive mechanisms: This delves into the security threats posed by economic incentives within blockchain consensus protocols and examines the legal ramifications that arise when blockchain security is compromised.

Description
372 pages
Date Issued
2024-12
Keywords
authenticated data structure
•
blockchain
•
security and privacy
•
trusted execution environment
Committee Chair
Juels, Ari
Committee Member
Grimmelmann, James
Pass, Rafael
Degree Discipline
Computer Science
Degree Name
Ph. D., Computer Science
Degree Level
Doctor of Philosophy
Rights
Attribution 4.0 International
Rights URI
https://creativecommons.org/licenses/by/4.0/
Type
dissertation or thesis
Link(s) to Catalog Record
https://newcatalog.library.cornell.edu/catalog/16921925

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