Decentralizing Privacy: Using Blockchain to Protect Personal Data
Open accessAbstract
The recent increase in reported incidents of surveillance and security breaches compromising users' privacy call into question the current model, in which third-parties collect and control massive amounts of personal data. Bit coin has demonstrated in the financial space that trusted, auditable computing is possible using a decentralized network of peers accompanied by a public ledger. In this paper, we describe a decentralized personal data management system that ensures users own and control their data. We implement a protocol that turns a block chain into an automated access-control manager that does not require trust in a third party. Unlike Bit coin, transactions in our system are not strictly financial -- they are used to carry instructions, such as storing, querying and sharing data. Finally, we discuss possible future extensions to block chains that could harness them into a well-rounded solution for trusted computing problems in society.
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Only the work proposed by [146] was intended to deal with privacy aspects based on the use of blockchain in smart cities.
“Based on it, only the work proposed by [146] was intended to deal with privacy aspects based on the use of blockchain.”
From Privacy-Preserving Solutions for Blockchain: Review and Challenges (2019) · cites this paper as [146]
The Related Work section describes the paper's contribution as a blockchain-based personal data platform focused on privacy, supporting the identification of this work as addressing blockchain privacy. But Section II specifies a focus on mobile platforms, not smart cities, and the paper does not establish that it was the only work addressing blockchain privacy. (LLM, conf=0.86)
Experimental — accuracy not yet measuredBlock data can cross check with locally stored hash information of similar data.
“Block data can also cross check with locally stored hash information of similar data [45].”
From Proof-of-familiarity: a privacy-preserved blockchain scheme for collaborative medical decision-making (2019) · cites this paper as [45]
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- Authors
- Zyskind, G., Nathan, O., & Pentland, A. '.
- Affiliations
- MIT Media Lab (US)
- Tel Aviv University (IL)
- Venue
- 2015 IEEE Security and Privacy Workshops
- Publisher
- IEEE
- Published
- 2015-05
- Pages
- 180-184
- OpenAlex
- W1559136758
- Cited by
- 2,617
- References
- 15
- Citations by year
- 2026: 109 · 2025: 267 · 2024: 213 · 2023: 245 · 2022: 236 · 2021: 331 · 2020: 408 · 2019: 415 · 2018: 266 · 2017: 103 · 2016: 22 · 2014: 1 · 2012: 1
- FWCI
- 113.26
- Type
- conference paper
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- IEEE Security and Privacy Workshops (SPW) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Physical Sciences › Computer Science › Artificial Intelligence › Cryptography and Data Security
- Physical Sciences › Computer Science › Information Systems › Cloud Data Security Solutions
- Keywords
- blockchain, personal information management, data privacy, distributed access control, user data ownership, trusted computing, surveillance, security breaches, public ledger, data sharing
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