CoChat
Sign Up
Cited by 40Blockchain Technology Applications and SecurityDigitalization, Law, and RegulationPrivacy, Security, and Data Protection

Blockchain for Identity Management: The Implications to Personal Data Protection

Sim, Wie Liang, Chua, Hui Na, Tahir, Mohammad·2019·2019 IEEE Conference on Application, Information and Network Security (AINS)
DOI 10.1109/ains47559.2019.8968708
Open this paper in CoChat — free account

Abstract

Identity symbolizes a personal level of an individual and becomes an embodiment of who we are, and Identity Management in Information Communication Technologies field represents the basis of authenticating a specific individual. Therefore, it is important to protect and control identity as personal information so that unfortunate misconduct would be avoided. Currently, how individuals are represented in the digital ecosystem appears to be permissive with the management of centralized control on identity. Recently, blockchain technology has been making its mark as a revolutionized approach to exceed expectations with its decentralized approach. Popularized with the cryptocurrency, blockchain technology could also create a disruptive effect in the area of identity management. In the domain of identity management, privacy protection is crucial to the security of personal data. However, there is a lack of systematic study on how the identity management aspect of blockchain technology supports personal data protection based on the requirement of regulations. In this paper, we aim to close this gap through a systematic review to examine how the identity management aspect of blockchain technology supports or contradicts personal data protection based on the requirements of the General Data Protection Regulation (GDPR) requirements.

Integrity signals

Registry

Crossref · 10.1109/ains47559.2019.8968708

Cites

19 of 19 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • In some decentralized proposals, a single identity is allocated for every entity and stored in the blockchain for authentication purposes.

    “In some decentralized proposals [26][27], a single identity is allocated for every entity and stored in the blockchain for authentication purposes.”

    From Decentralized and Self-Sovereign Identity: Systematic Mapping Study (2021) · cites this paper as [26]

Cites

Flagged first, then by citations

1 of the 20 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Related

Authors
Sim, W. L., Chua, H. N., & Tahir, M.
Affiliations
Sunway University (MY)
ORCID
Venue
2019 IEEE Conference on Application, Information and Network Security (AINS)
Publisher
IEEE
Published
2019-11
Pages
30-35
DOI
10.1109/ains47559.2019.8968708
OpenAlex
W3003288901
Cited by
40
References
20
Citations by year
2026: 3 · 2025: 7 · 2024: 4 · 2023: 10 · 2022: 10 · 2021: 6
FWCI
3.19
Type
conference paper
Language
en
Open access
closed
Licence
Locations
IEEE Conference on Application, Information and Network Security (AINS) (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
  • Social Sciences › Law › Digitalization, Law, and Regulation
  • Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
Keywords
blockchain, identity management, personal data protection, decentralized identity, GDPR compliance, data privacy, digital identity

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review