A review of systems for educational user data storage and security through decentralised blockchain storage systems

Research output: Book chapter/Published conference paperConference paperpeer-review

Abstract

This paper provides a comprehensive review of the significant literature in the area of user data security with a specific focus on how this integrates with the area of blockchain technologies and zero-knowledge proofs within the context of educational data storage. The overall objective of this review is to provide an in-sight into what has already been made available, with regards to implementation, and how these form an overall direction for the field. The purpose of which is to assist in the efforts to provide a solution that unifies the existing solutions and frameworks and provides real world benefits by targeting the highlighted research gaps.
Original languageEnglish
Title of host publicationProceedings of 2023 International Conference on Machine Learning and Cybernetics, ICMLC 2023
PublisherIEEE
Pages594-600
Number of pages7
ISBN (Electronic)9798350303780
ISBN (Print)9798350303797
DOIs
Publication statusPublished - 2023
Event2023 International Conference on Machine Learning and Cybernetics, ICMLC 2023 - University of Adeliade, Adelaide, Australia
Duration: 09 Jul 202311 Jul 2023
https://www.icmlc.com/CF/2023CFP.pdf (Call for papers)
https://ieeexplore-ieee-org.ezproxy.csu.edu.au/xpl/conhome/10327787/proceeding (Proceedings)
https://web.archive.org/web/20230925203222/https://www.icmlc.com/ICMLC/welcome.html (Conference website)
https://web.archive.org/web/20230925195242/https://www.icmlc.com/technicalProgram/PresentationSession.pdf (Technical progam)

Publication series

NameProceedings - International Conference on Machine Learning and Cybernetics
ISSN (Print)2160-133X
ISSN (Electronic)2160-1348

Conference

Conference2023 International Conference on Machine Learning and Cybernetics, ICMLC 2023
Country/TerritoryAustralia
CityAdelaide
Period09/07/2311/07/23
OtherOver the years, the International Conference on Machine Learning and Cybernetics (ICMLC) has emerged as the leading international gathering of people from academia, professionals and industry in the field of Machine Learning and Cybernetics. In this annual conference, researchers and practitioners from around the world gather together to interact, to inform and to inspire.

Leading international researchers, including leaders from IEEE, especially the IEEE Systems, Man, and Cybernetics Society, will serve as Tutorial and Keynote Speakers. ICMLC attendees will have many opportunities to network and discuss their research with these prominent peers. ICMLC also provides a quality platform for the broad dissemination of significant research results and innovative practices through conference presentations and published proceedings. Furthermore, authors have the opportunity of further development of their work via journal and monograph publications too. Additionally, ICMLC has research consultation sessions, well-focused invited sessions on leading technologies, panels on topics of great interest to participants, and conference awards for Lotfi Zadeh Best Paper Awards and Best Student Conference Paper Awards. We invite authors to submit original papers that contain significant research results, development work, and innovative practices to ICMLC 2023. ICMLC 2023 will be held on July 9-11, 2023 in Adelaide, Australia.
Internet address

Fingerprint

Dive into the research topics of 'A review of systems for educational user data storage and security through decentralised blockchain storage systems'. Together they form a unique fingerprint.

Cite this