Privacy-preserving Biometric-driven Data for Student Identity Management: Challenges and Approaches

Christos Fidas, Marios Belk, David Portugal, Andreas Pitsillides

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

8 Citations (Scopus)

Abstract

Biometric technologies are being considered lately for student identity management in Higher Education Institutions, as they provide several advantages over the traditional knowledge-based and token-based authentication methods, i.e., biometrics provide high security entropies, convenience and a sense of technological modernity to the end-users. While biometric technologies have many benefits from both a security and usability point of view, still there is a need for innovative user identity management solutions that continuously identify and authenticate students during academic and teaching activities. In addition, biometrics entail several threats and weaknesses with regards to the privacy of data stored about the user, which negatively affect the user acceptance and the wider adoption of biometrics due to regulatory and legal issues. In this paper, we refer to our ongoing research on intelligent and continuous online student identity management for improving security and trust in European Higher Education Institutions. We further highlight based on the literature, existing challenges, threats and state-of-the-art approaches with regards to preserving the privacy of biometric-driven data.

Original languageEnglish
Title of host publicationUMAP 2021 - Adjunct Publication of the 29th ACM Conference on User Modeling, Adaptation and Personalization
PublisherAssociation for Computing Machinery, Inc
Pages368-370
Number of pages3
ISBN (Electronic)9781450383677
DOIs
Publication statusPublished - 21 Jun 2021
Externally publishedYes
Event29th ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2021 - Virtual, Online, Netherlands
Duration: 21 Jun 202025 Jun 2020

Publication series

NameUMAP 2021 - Adjunct Publication of the 29th ACM Conference on User Modeling, Adaptation and Personalization

Conference

Conference29th ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2021
Country/TerritoryNetherlands
CityVirtual, Online
Period21/06/2025/06/20

Keywords

  • Biometrics
  • Blockchain
  • Privacy
  • Security
  • User Authentication

ASJC Scopus subject areas

  • Software

Fingerprint

Dive into the research topics of 'Privacy-preserving Biometric-driven Data for Student Identity Management: Challenges and Approaches'. Together they form a unique fingerprint.

Cite this