Improving the privacy, scalability, and ecological impact of blockchains

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Abstract/Contents

Abstract
Despite the excitement around them, Blockchains today still suffer from major limitations. Popular blockchains have high transaction fees, limited privacy, and substantial ecological impact. These issues are largely due to the fact that in decentralized blockchain systems, each action performed by one party gets seen and verified by all parties in the network. In this dissertation, we develop solutions to these limitations. They rely on a common proof paradigm, in which a prover can generate a certificate that the actions it performed were in accordance with a set of rules. Importantly, the certificates can be highly efficient and privacy-preserving, even if the actions are not. We develop four such proof systems, each tailored to resolve one of the limitations of blockchains. Bulletproofs, a zero-knowledge proof system that is designed for private blockchain transactions. HyperPlonk, an efficient SNARK that enables outsourcing the processing of entire blocks of transactions. Verifiable Delay Functions, a key component for ecologically friendly blockchains, and ProtoStar, an incrementally verifiable proof system designed for building efficient Verifiable Delay Functions and succinct blockchains. These tools are not merely theoretical but have already found practical applications and are securing systems worth billions of dollars.

Description

Type of resource text
Form electronic resource; remote; computer; online resource
Extent 1 online resource.
Place California
Place [Stanford, California]
Publisher [Stanford University]
Copyright date 2023; ©2023
Publication date 2023; 2023
Issuance monographic
Language English

Creators/Contributors

Author Buenz, Karl Benedikt
Degree supervisor Boneh, Dan, 1969-
Thesis advisor Boneh, Dan, 1969-
Thesis advisor Mazières, David (David Folkman), 1972-
Thesis advisor Wootters, Mary
Degree committee member Mazières, David (David Folkman), 1972-
Degree committee member Wootters, Mary
Associated with Stanford University, School of Engineering
Associated with Stanford University, Computer Science Department

Subjects

Genre Theses
Genre Text

Bibliographic information

Statement of responsibility Benedikt Bünz.
Note Submitted to the Computer Science Department.
Thesis Thesis Ph.D. Stanford University 2023.
Location https://purl.stanford.edu/pz524zp4725

Access conditions

Copyright
© 2023 by Karl Benedikt Buenz
License
This work is licensed under a Creative Commons Attribution 3.0 Unported license (CC BY).

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