Blockchain privacy: Fundamental aspects and challenges for the future Internet data sharing

Author:

Kapsoulis Nikolaos1ORCID,Psychas Alexandros1,Litke Antonios12,Varvarigou Theodora1

Affiliation:

1. School of Electrical and Computer Engineering National Technical University of Athens Athens Greece

2. Division of Mathematics and Engineering Science Hellenic Army Academy Athens Greece

Abstract

AbstractPrivacy concerns the majority of individuals, governments, and organizations that share data over dissimilar networks of nodes. Every kind of participant requires awareness of the data journey that unfolds inside a blockchain network with its own trustworthy rules of data management and accessibility. This paper provides a methodological approach on privacy for data sharing within blockchain environments. Specific technological aspects of blockchains that relate to on‐chain privacy such as network nature, party join, smart contracts, blockchain states, transactions, and ledger flows, are analysed with respect to the involvement and impact of privacy in distributed ledgers. A high‐level architectural approach is suggested that is intended to address significant privacy concerns on data sharing among different kinds of users in the context of blockchain networks deployment and the broader Web 3.0 ecosystem building. Simultaneously, many pertinent challenges are discussed regarding network nature, configurable privacy, ownership, confidentiality, secured computation, and data monetization that appear in the field and ought to be carefully tackled for the future mass adoption of privacy‐matured distributed ledgers that interconnect delivering the future Internet.

Publisher

Institution of Engineering and Technology (IET)

Subject

General Medicine

Reference59 articles.

1. The transparency challenge of blockchain in organizations

2. Becoming a blockchain user: Understanding consumers' benefits realisation to use blockchain‐based applications;Raddatz N.;Eur. J. Inf. Syst.,2021

3. Facebook–Cambridge analytica data scandal. Wikipedia.https://en.wikipedia.org/wiki/Facebook‐Cambridge_Analytica_data_scandal. Accessed 23 Feb 2023

4. Towards Post-Quantum Blockchain: A Review on Blockchain Cryptography Resistant to Quantum Computing Attacks

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