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Trust-Driven, Decentralized Data Access Control for Open Network of Autonomous Data Providers

Łukasz Opioła, Łukasz Dutka, Renata G. Słota, Jacek Kitowski
PST 2018 [online] : 16th Annual Conference on Privacy, Security and Trust : August 28-30, 2018 Belfast, United Kingdom, p. 1-10, ISSN 1712-364X, ISBN 978-1-5386-7493-2

Abstract

The observation of current trends in data access, especially in the field of scientific computations, shows that global data access that crosses federation boundaries is highly desirable. However, administrative constraints require that data centers remain autonomous, which effectively eliminates the possibility of cooperation. To overcome this, we plan to establish an open network of cooperating data providers. In this paper, we address the issue of data access control for such network. Our proposition is to use a synergy of hybrid peer-to-peer architecture, decentralized identity and access management, metadata synchronization protocol and trust driven authorization flow. The proposed solution is discussed using real-life use-cases concerning cross-federation data access.

Cite this article

@inproceedings{opiola_trustdriven_2018,
  title   = {Trust-Driven, Decentralized Data Access Control for Open Network of Autonomous Data Providers},
  author  = {Łukasz Opioła and Łukasz Dutka and Renata G. Słota and Jacek Kitowski},
  booktitle = {PST 2018 [online] : 16th Annual Conference on Privacy, Security and Trust : August 28-30, 2018 Belfast, United Kingdom},
  editor  = {Kieran McLaughlin and Ali Ghorbani and Sakir Sezer and Rongxing Lu and Liqun Chen and Robert H. Deng and Paul Miller and Stephen Marsh and Jason Nurse},
  year    = {2018},
  pages   = {1--10},
  issn    = {1712-364X},
  isbn    = {978-1-5386-7493-2},
}
Łukasz Opioła, Łukasz Dutka, Renata G. Słota, Jacek Kitowski,
Trust-Driven, Decentralized Data Access Control for Open Network of Autonomous Data Providers,
PST 2018 [online] : 16th Annual Conference on Privacy, Security and Trust : August 28-30, 2018 Belfast, United Kingdom,
2018,
Pages 1-10,
ISSN 1712-364X,
ISBN 978-1-5386-7493-2