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Biometric authentication and data security in cloud computing

Masala, G.L. and Ruiu, P. and Grosso, E. (2018) Biometric authentication and data security in cloud computing. In: Computer and Network Security Essentials. Springer, pp. 337-353. ISBN 978-3-319-58423-2. E-ISBN 978-3-319-58424-9. (doi:10.1007/978-3-319-58424-9_19) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:91355)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL:
http://dx.doi.org/10.1007/978-3-319-58424-9_19

Abstract

Two important topics related to the cloud security are discussed in this chapter: the authentication of logical users accessing the cloud, and the security of data stored on public cloud servers. A real cloud platform is used as example; it is designed and implemented to support basic web applications, and to be shared by small and medium companies. Such platform is built using the OpenStack architecture. The user authentication is based on an original biometric approach exploiting fingerprints and open to multimodal improvements. The platform guarantees secure access of multiple users and complete logical separation of computational and data resources, related to different companies. High level of protection of the data, stored in the cloud, is ensured by adopting a peculiar data fragmentation approach. Details are given about the authentication process and of the service modules involved in the biometric authentication. Furthermore are discussed the key issues, related to the integration of the biometric authentication, in the cloud platform.

Item Type: Book section
DOI/Identification number: 10.1007/978-3-319-58424-9_19
Additional information: cited By 10
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Amy Boaler
Date Deposited: 05 Nov 2021 10:14 UTC
Last Modified: 08 Nov 2021 10:58 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/91355 (The current URI for this page, for reference purposes)

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