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Privacy and Scalability for Decentralized Cryptographic Systems- [electronic resource]
Privacy and Scalability for Decentralized Cryptographic Systems - [electronic resource]
Privacy and Scalability for Decentralized Cryptographic Systems- [electronic resource]

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자료유형  
 학위논문파일 국외
최종처리일시  
20240214095858
ISBN  
9798380621908
DDC  
004
저자명  
Mishra, Pratyush.
서명/저자  
Privacy and Scalability for Decentralized Cryptographic Systems - [electronic resource]
발행사항  
[S.l.]: : University of California, Berkeley., 2021
발행사항  
Ann Arbor : : ProQuest Dissertations & Theses,, 2021
형태사항  
1 online resource(271 p.)
주기사항  
Source: Dissertations Abstracts International, Volume: 85-04, Section: B.
주기사항  
Advisor: Chiesa, Alessandro;Popa, Raluca Ada.
학위논문주기  
Thesis (Ph.D.)--University of California, Berkeley, 2021.
사용제한주기  
This item must not be sold to any third party vendors.
초록/해제  
요약The past few years have seen growing interest in decentralized systems owing to their improved censorship-resistance, fault tolerance, and auditability compared to their centralized counterparts. For example, ideas popularized in decentralized protocols like Bitcoin and Ethereum have seen widespread adoption and publicity. However, the benefits of these systems often come at the expense of privacy and scalability: to ensure the correctness of computations, decentralized systems like Ethereum require that parties publish their entire computational state, which is then checked by re-executing the computation. From the privacy perspective, this reveals which computation was performed, the data that was input to the computation, and the identity of the involved users. From the scalability perspective, re-execution means that the cost of expensive computations is borne by every party in the system, as opposed to just the party invoking the computation.In this dissertation, we show how to overcome these shortcomings and obtain decentralized systems that achieve strong privacy and scalability properties. We do so by providing new constructions and applications of a powerful cryptographic primitive: zero-knowledge succinct non-interactive argument systems, or zkSNARKs. We design new methodologies for constructing zkSNARKs that have lower deployment overhead and improved efficiency compared to the prior state-of-the-art. Finally, we go on to construct a system for decentralized private computation that takes advantage of these advances to make all transactions indistinguishable, thus ensuring privacy (transactions reveal no information about the computation) and scalability (transactions can be verified in time independent of the computation).
일반주제명  
Computer science.
일반주제명  
Computer engineering.
일반주제명  
Information technology.
키워드  
Cryptography
키워드  
Decentralized private computation
키워드  
Proof-carrying data
키워드  
zkSNARKs
키워드  
Scalability
기타저자  
University of California, Berkeley Computer Science
기본자료저록  
Dissertations Abstracts International. 85-04B.
기본자료저록  
Dissertation Abstract International
전자적 위치 및 접속  
로그인 후 원문을 볼 수 있습니다.

MARC

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■00520240214095858
■006m          o    d                
■007cr#unu||||||||
■020    ▼a9798380621908
■035    ▼a(MiAaPQ)AAI28722452
■040    ▼aMiAaPQ▼cMiAaPQ
■0820  ▼a004
■1001  ▼aMishra,  Pratyush.
■24510▼aPrivacy  and  Scalability  for  Decentralized  Cryptographic  Systems▼h[electronic  resource]
■260    ▼a[S.l.]:▼bUniversity  of  California,  Berkeley.  ▼c2021
■260  1▼aAnn  Arbor  :▼bProQuest  Dissertations  &  Theses,  ▼c2021
■300    ▼a1  online  resource(271  p.)
■500    ▼aSource:  Dissertations  Abstracts  International,  Volume:  85-04,  Section:  B.
■500    ▼aAdvisor:  Chiesa,  Alessandro;Popa,  Raluca  Ada.
■5021  ▼aThesis  (Ph.D.)--University  of  California,  Berkeley,  2021.
■506    ▼aThis  item  must  not  be  sold  to  any  third  party  vendors.
■520    ▼aThe  past  few  years  have  seen  growing  interest  in  decentralized  systems  owing  to  their  improved  censorship-resistance,  fault  tolerance,  and  auditability  compared  to  their  centralized  counterparts.  For  example,  ideas  popularized  in  decentralized  protocols  like  Bitcoin  and  Ethereum  have  seen  widespread  adoption  and  publicity.  However,  the  benefits  of  these  systems  often  come  at  the  expense  of  privacy  and  scalability:  to  ensure  the  correctness  of  computations,  decentralized  systems  like  Ethereum  require  that  parties  publish  their  entire  computational  state,  which  is  then  checked  by  re-executing  the  computation.  From  the  privacy  perspective,  this  reveals  which  computation  was  performed,  the  data  that  was  input  to  the  computation,  and  the  identity  of  the  involved  users.  From  the  scalability  perspective,  re-execution  means  that  the  cost  of  expensive  computations  is  borne  by  every  party  in  the  system,  as  opposed  to  just  the  party  invoking  the  computation.In  this  dissertation,  we  show  how  to  overcome  these  shortcomings  and  obtain  decentralized  systems  that  achieve  strong  privacy  and  scalability  properties.  We  do  so  by  providing  new  constructions  and  applications  of  a  powerful  cryptographic  primitive:  zero-knowledge  succinct  non-interactive  argument  systems,  or  zkSNARKs.  We  design  new  methodologies  for  constructing  zkSNARKs  that  have  lower  deployment  overhead  and  improved  efficiency  compared  to  the  prior  state-of-the-art.  Finally,  we  go  on  to  construct  a  system  for  decentralized  private  computation  that  takes  advantage  of  these  advances  to  make  all  transactions  indistinguishable,  thus  ensuring  privacy  (transactions  reveal  no  information  about  the  computation)  and  scalability  (transactions  can  be  verified  in  time  independent  of  the  computation).
■590    ▼aSchool  code:  0028.
■650  4▼aComputer  science.
■650  4▼aComputer  engineering.
■650  4▼aInformation  technology.
■653    ▼aCryptography
■653    ▼aDecentralized  private  computation
■653    ▼aProof-carrying  data
■653    ▼azkSNARKs
■653    ▼aScalability
■690    ▼a0984
■690    ▼a0489
■690    ▼a0464
■71020▼aUniversity  of  California,  Berkeley▼bComputer  Science.
■7730  ▼tDissertations  Abstracts  International▼g85-04B.
■773    ▼tDissertation  Abstract  International
■790    ▼a0028
■791    ▼aPh.D.
■792    ▼a2021
■793    ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16931036▼nKERIS▼z이  자료의  원문은  한국교육학술정보원에서  제공합니다.
■980    ▼a202402▼f2024

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