2017
DOI: 10.1515/popets-2017-0056
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Systematizing Decentralization and Privacy: Lessons from 15 Years of Research and Deployments

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 carefu… Show more

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Cited by 56 publications
(66 citation statements)
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“…Edge computing can reduce to the minimum the amount of data that is distributed (only the necessary data to respond to a certain issue or query is being sent to external actors). Advances in federated learning mean it can be possible to do distributed data analytics in more privacy preserving ways [45]. This is more consistent with the data minimisation principle (article 5 GDPR).…”
Section: B the Choice Of A Cloud Architecture And The Edge Computingmentioning
confidence: 65%
“…Edge computing can reduce to the minimum the amount of data that is distributed (only the necessary data to respond to a certain issue or query is being sent to external actors). Advances in federated learning mean it can be possible to do distributed data analytics in more privacy preserving ways [45]. This is more consistent with the data minimisation principle (article 5 GDPR).…”
Section: B the Choice Of A Cloud Architecture And The Edge Computingmentioning
confidence: 65%
“…As a result, blockchain as a decentralized technology is usually interpreted as a distributed ledger technology (DLT), even though decentralization and distribution refer to two very different things: distribution simply refers to the way in which something is dispersed, accessed or appropriated by various actors of a social system (usually resources, content or data), while decentralization is a relational concept that defines the way in which interpersonal relationships between these actors are structured, organised and governed. This same confusion is also present in the broader literature on digital networks and the internet where distribution and decentralization are often conflated (Mathew, 2016;Möller and von Rimscha, 2017;Troncoso et al, 2017), and in the literature on digital infrastructures, where both the term distribution and decentralization is used (Hanseth and Lyytinen, 2010;Tilson et al, 2010).…”
Section: Decentralization and Distribution Originsmentioning
confidence: 84%
“…A networked system in this case is logically centralized if the various nodes within the system behave as a unique and coherent entity, and cannot operate autonomously and independent from each other as this would breach the integrity and consistency of the system. Logical centralization implies some form of social coordination or collaboration, while the various elements in a logically decentralized system are potentially adversarial and might act inconsistently from each other (Troncoso et al, 2017).…”
Section: Decentralization As a Lack Of Centralizationmentioning
confidence: 99%
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“…73 Malware was the dominant cybersecurity threat of 2016, 74 and it has become more targeted, as financial Trojans used in the 2016 Bangladesh Bank heist show (where $81m was stolen through fraudulent transactions). 75 The vulnerabilities posed by a recent ransomware attack, 2017's WannaCry, highlight risks of longitudinal security management in industrial IoT futures.…”
Section: Autonomous Systems In Logistics -Smart Oil Tankersmentioning
confidence: 99%