ORCID
- Ghita, Bogdan: 0000-0002-1788-547X
Abstract
Advances in distributed computing and virtualization allowed cloud computing to establish itself as a popular data management and storage option for organizations. However, unclear safeguards, practices, as well as the evolution of legislation around privacy and data protection, contribute to data security being one of the main concerns in adopting this paradigm. Another important aspect hindering the absolute success of cloud computing is the ability to ensure the digital identity of users and protect the virtual environment through logical access controls while avoiding the compromise of its authentication mechanism or storage medium. Therefore, this paper proposes a system that addresses data security wherein unauthorized access to data stored in a public cloud is prevented by applying a fragmentation technique and a NoSQL database. Moreover, a system for managing and authenticating users with multimodal biometrics is also suggested along with a mechanism to ensure the protection of biometric features. When compared with encryption, the proposed fragmentation method indicates better latency performance, highlighting its strong potential use-case in environments with lower latency requirements such as the healthcare IT infrastructure.
DOI
10.1109/tetc.2023.3271957
Publication Date
2023-05-23
Publication Title
IEEE Transactions on Emerging Topics in Computing
ISSN
2168-6750
Embargo Period
2023-11-08
Organisational Unit
School of Engineering, Computing and Mathematics
First Page
1
Last Page
12
Recommended Citation
Santos, N., Ghita, B., & Masala, G. (2023) 'Medical Systems Data Security and Biometric Authentication in Public Cloud Servers', IEEE Transactions on Emerging Topics in Computing, , pp. 1-12. Available at: https://doi.org/10.1109/tetc.2023.3271957