| LDR | | 00000nam u2200205 4500 |
| 001 | | 000000432831 |
| 005 | | 20200224140159 |
| 008 | | 200131s2019 ||||||||||||||||| ||eng d |
| 020 | |
▼a 9781085743907 |
| 035 | |
▼a (MiAaPQ)AAI13860179 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 020 |
| 100 | 1 |
▼a Li, Chao. |
| 245 | 10 |
▼a Protecting Data Privacy with Decentralized Self-Emerging Data Release Systems. |
| 260 | |
▼a [S.l.]:
▼b University of Pittsburgh.,
▼c 2019. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2019. |
| 300 | |
▼a 156 p. |
| 500 | |
▼a Source: Dissertations Abstracts International, Volume: 81-03, Section: A. |
| 500 | |
▼a Advisor: Palanisamy, Balaji. |
| 502 | 1 |
▼a Thesis (Ph.D.)--University of Pittsburgh, 2019. |
| 506 | |
▼a This item must not be sold to any third party vendors. |
| 520 | |
▼a In the age of Big Data, releasing private data at a future point in time is critical for various applications. Such self-emerging data release requires the data to be protected until a prescribed data release time and be automatically released to the target recipient at the release time. While straight-forward centralized approaches such as cloud storage services may provide a simple way to implement self-emerging data release, unfortunately, they are limited to a single point of trust and involves a single point of control. This dissertation proposes new decentralized designs of self-emerging data release systems using large-scale peer-to-peer (P2P) networks as the underlying infrastructure to eliminate a single point of trust or control. The first part of the dissertation presents the design of decentralized self-emerging data release systems using two different P2P network infrastructures, namely Distributed Hash Table (DHT) and blockchain. The second part of this dissertation proposes new mechanisms for supporting two key functionalities of self-emerging data release, namely (i) enabling the release of self-emerging data to blockchain-based smart contracts for facilitating a wide range of decentralized applications and (ii) supporting a cost-effective gradual release of self-emerging data in the decentralized infrastructure. We believe that the outcome of this dissertation would contribute to the development of decentralized security primitives and protocols in the context of timed release of private data. |
| 590 | |
▼a School code: 0178. |
| 650 | 4 |
▼a Information science. |
| 690 | |
▼a 0723 |
| 710 | 20 |
▼a University of Pittsburgh.
▼b School of Computing and Information. |
| 773 | 0 |
▼t Dissertations Abstracts International
▼g 81-03A. |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0178 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2019 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T15490906
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 202002
▼f 2020 |
| 990 | |
▼a ***1008102 |
| 991 | |
▼a E-BOOK |