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Protecting data privacy with decentralized self-emerging data release systems

Li, Chao (2019) Protecting data privacy with decentralized self-emerging data release systems. Doctoral Dissertation, University of Pittsburgh. (Unpublished)

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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.


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Item Type: University of Pittsburgh ETD
Status: Unpublished
CreatorsEmailPitt UsernameORCID
Li, Chaochl205@pitt.educhl205
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairPalanisamy, Balajibpalan@pitt.eduBPALAN
Committee MemberJoshi, Jamesjjoshi@pitt.eduJJOSHI
Committee MemberKrishnamurthy, Prashantprashk@pitt.eduPRASHK
Committee MemberGao,
Date: 22 May 2019
Date Type: Publication
Defense Date: 10 April 2019
Approval Date: 22 May 2019
Submission Date: 15 April 2019
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Number of Pages: 155
Institution: University of Pittsburgh
Schools and Programs: School of Computing and Information > Telecommunications
Degree: PhD - Doctor of Philosophy
Thesis Type: Doctoral Dissertation
Refereed: Yes
Uncontrolled Keywords: data privacy, decentralization, timed release, blockchain, DHT, smart contract
Date Deposited: 22 May 2019 12:36
Last Modified: 22 May 2019 12:36

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