Privacy-Preserving eID Derivation for Self-Sovereign Identity Systems

Andreas Abraham*, Felix Hörandner, Olamide Omolola, Sebastian Ramacher

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

Abstract

As centralized identity management solutions amass identity
data, they increasingly become attractive targets for cyber attacks,
which entail consequences for users that range from service disruptions
to exposure of sensitive user data. Self-sovereign identity (SSI) strives to
return the control over identity data to the users by building on decentralized
architectures. However, the adoption of SSI systems is currently
hampered by a lack of qualified identity data that satisfies the services'
requirements. Additionally, there is a gap w.r.t the user's privacy: Intermediate
components (e.g., importers or SSI network nodes) learn the
users' sensitive attributes during the derivation of eID data.
In this work, we present a decentralized eID derivation concept that
preserves the users' privacy while maintaining the data's trustworthiness
without revealing the plain data to any component outside the users' control.
Our proposed system also enables users to selectively disclose only
relevant parts of the imported identity assertion according to the service's
requirements. We also implement and evaluate a proof-of-concept
to demonstrate the feasibility and performance of our concept.
Original languageEnglish
Title of host publicationInformation and Communications Security - 21st International Conference, ICICS 2019, Revised Selected Papers
EditorsJianying Zhou, Xiapu Luo, Qingni Shen, Zhen Xu
PublisherSpringer
Pages307-323
Number of pages17
Volume11999
ISBN (Electronic)978-3-030-41579-2
ISBN (Print)978-3-030-41578-5
DOIs
Publication statusPublished - 18 Feb 2020
Event21st International Conference on Information and Communications Security: ICICS 2019 - Peking, China
Duration: 15 Dec 201917 Dec 2019
http://icics.cn

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11999 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference21st International Conference on Information and Communications Security
Abbreviated titleICICS'19
Country/TerritoryChina
CityPeking
Period15/12/1917/12/19
Internet address

Keywords

  • Qualified Electronic Identities
  • Self-Sovereign Identity
  • Distributed Ledger
  • Identity Derivation
  • Distributed Trust
  • Privacy
  • Distributed ledger
  • Qualified electronic identity
  • Identity derivation
  • Distributed trust

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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