Privacy by Design: Proposing a Generic Framework for Privacy Compliant Experiment Repository Tool

Abid Hussain, Lester Allan Lasrado

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

The regulations and guidelines for data privacy have become a significant challenge for both the industry and the research community. Collecting, storing, and processing data while complying with these regulations can be a daunting task. Privacy management during the experimental data collection process comes with additional costs that cannot be ignored. This article proposes a conceptual framework and an architect for a generic experiment data collection tool that handles privacy at runtime. The tool eliminates the need for data storage first and subsequent anonymization. Moreover, it aims to simplify the technical aspects of data privacy processes for researchers and provide user-friendly privacy scales for data anonymization.
Original languageEnglish
Title of host publicationProceedings of the 48th IEEE International Conference on Computers, Software, and Applications
EditorsHossain Shahriar, Hiroyuki Ohsaki, Moushumi Sharmin, Dave Towey, AKM Jahangir Alam Majumder, Yoshiaki Hori, Ji-Jiang Yang, Michiharu Takemoto, Nazmus Sakib, Ryohei Banno, Sheikh Iqbal Ahamed
Place of PublicationLos Alamitos, CA
PublisherInstitute of Electrical and Electronics Engineers Inc.
Publication date2024
Pages1562-1563
ISBN (Print)9798350376975
ISBN (Electronic)9798350376968
DOIs
Publication statusPublished - 2024
EventThe 48th IEEE International Conference on Computers, Software, and Applications: Digital Development for a Better Future - Osaka University, Osaka, Japan
Duration: 2 Jul 20244 Jul 2024
Conference number: 48
https://ieeecompsac.computer.org/2024/

Conference

ConferenceThe 48th IEEE International Conference on Computers, Software, and Applications
Number48
LocationOsaka University
Country/TerritoryJapan
CityOsaka
Period02/07/202404/07/2024
Internet address

Keywords

  • Generic data collection tool
  • Privacy
  • Data collection
  • Experiment tool
  • Generic tool
  • Anonymization
  • Hashing
  • Encryption

Cite this