Troncoso, C;
Isaakidis, M;
Danezis, G;
Halpin, H;
(2017)
Systematizing Decentralization and Privacy: Lessons from 15 years of research and deployments.
In:
(Proceedings) Privacy Enhancing Technologies Symposium 2017.
(pp. pp. 404-426).
De Gruyter
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Abstract
Decentralized systems are a subset of distributed systems where multiple authorities control different components and no authority is fully trusted by all. This implies that any component in a decentralized system is potentially adversarial. We revise fifteen years of research on decentralization and privacy, and provide an overview of key systems, as well as key insights for designers of future systems. We show that decentralized designs can enhance privacy, integrity, and availability but also require careful trade-offs in terms of system complexity, properties provided, and degree of decentralization. These trade-offs need to be understood and navigated by designers. We argue that a combination of insights from cryptography, distributed systems, and mechanism design, aligned with the development of adequate incentives, are necessary to build scalable and successful privacy-preserving decentralized systems.
Type: | Proceedings paper |
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Title: | Systematizing Decentralization and Privacy: Lessons from 15 years of research and deployments |
Event: | Privacy Enhancing Technologies Symposium 2017 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1515/popets-2017-0056 |
Publisher version: | http://doi.org/10.1515/popets-2017-0056 |
Language: | English |
Additional information: | This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License (CC-BY-NC-ND 3.0) |
Keywords: | Decentralization; Privacy; Peer-to-peer; Systematization of Knowledge |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
URI: | https://discovery.ucl.ac.uk/id/eprint/10039965 |
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