TY - JOUR
T1 - Medical Systems Data Security and Biometric Authentication in Public Cloud Servers
AU - Santos, Nelson
AU - Ghita, Bogdan
AU - Masala, Giovanni
PY - 2023/5/23
Y1 - 2023/5/23
N2 - 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.
AB - 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.
UR - https://pearl.plymouth.ac.uk/context/secam-research/article/1579/viewcontent/Medical_20Systems_20Data_20Security_20and_20Biometric_20Authentication_20in_20Public_20Cloud_20Servers.pdf
U2 - 10.1109/tetc.2023.3271957
DO - 10.1109/tetc.2023.3271957
M3 - Article
SN - 2168-6750
VL - 0
SP - 1
EP - 12
JO - IEEE Transactions on Emerging Topics in Computing
JF - IEEE Transactions on Emerging Topics in Computing
IS - 0
ER -