A Critical Look at Decentralized Personal Data Architectures
Arvind Narayanan, Vincent Toubiana, Solon Barocas, Helen, Nissenbaum, Dan Boneh

TL;DR
This paper critically examines decentralized personal data architectures, analyzing their development, common themes, social implications, and inherent drawbacks, ultimately questioning their feasibility and proposing more realistic design goals.
Contribution
It provides a comprehensive historical and thematic analysis of decentralized personal data systems, challenging their perceived benefits and offering practical design recommendations.
Findings
Decentralized architectures have seen limited adoption despite their promise.
Many systems face inherent drawbacks that hinder widespread use.
Designs should focus on achievable, limited goals rather than idealized decentralization.
Abstract
While the Internet was conceived as a decentralized network, the most widely used web applications today tend toward centralization. Control increasingly rests with centralized service providers who, as a consequence, have also amassed unprecedented amounts of data about the behaviors and personalities of individuals. Developers, regulators, and consumer advocates have looked to alternative decentralized architectures as the natural response to threats posed by these centralized services. The result has been a great variety of solutions that include personal data stores (PDS), infomediaries, Vendor Relationship Management (VRM) systems, and federated and distributed social networks. And yet, for all these efforts, decentralized personal data architectures have seen little adoption. This position paper attempts to account for these failures, challenging the accepted wisdom in the web…
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Taxonomy
TopicsPrivacy, Security, and Data Protection · Opportunistic and Delay-Tolerant Networks · Caching and Content Delivery
