Publication
Title
MOZAIK : an end-to-end secure data sharing platform
Author
Abstract
The proliferation of Internet of Things (IoT) devices has led to exponential data growth that can be harnessed for personalized services, cost savings, and environmental benefits. However, collecting and sharing this data comes with significant risks, including hacking attacks, breaches of sensitive data, and non-compliance with privacy regulations. This paper proposes a comprehensive, end-to-end secure system, MOZAIK, for privacy-preserving data collection, analysis, and sharing to address these challenges. We perform a requirements analysis from the perspectives of security, privacy, legal, and functionality, highlighting the various mechanisms employed to safeguard sensitive data throughout the entire data cycle. This includes the use of lightweight encryption, distributed computation, and anonymous communication mechanisms to reduce security and privacy risks and to protect against single points of failure. MOZAIK provides a trusted and secure platform for data sharing and processing that can enable the creation of a data market and data economy.
Language
English
Source (book)
Proceedings of the Second ACM Data Economy Workshop, 18 June, 2023, Seattle, USA
Publication
New York, N.Y. : Association for Computing Machinery , 2023
ISBN
979-84-00-70846-6
DOI
10.1145/3600046.3600052
Volume/pages
p. 34-40
ISI
001143165800006
Full text (Publisher's DOI)
Full text (publisher's version - intranet only)
UAntwerpen
Faculty/Department
Research group
Project info
Scalable and Secure Data Sharing (MOZAIK).
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identifier
Creation 15.09.2023
Last edited 11.04.2024
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