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Cluster Computing

Erschienen in:

19.09.2017

Privacy preserving multi factor authentication using trust management

verfasst von: A. S. Anakath, S. Rajakumar, S. Ambika

Erschienen in: Cluster Computing | Sonderheft 5/2019

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Abstract

A proper access control mechanism is the need of the hour, as the data stored in the cloud needs to be protected securely. Generally, a multifactor authentication (MFA) is preferred, one that needs the authentication of two or even more aspects based on identity, information and facts, and ownership which needs to check the value and correctness of users while logging into cloud services. Clouds such as Amazon, Google, Microsoft etc. generally have an additional attribute, one that is automatically made inactive. The MFA are intrusive and untrusted cloud servers can access user’s sensitive information. The objective of this work is to use a trust model which can identify client device. For instance, if the client device is public then a biometric authentication is provided. Based on the client device, trust is computed and the authentication process will be reduced from multifactor to single factor. Experimental results show that improved performance is attained by the proposed trust based MFA.

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Titel: Privacy preserving multi factor authentication using trust management
verfasst von: A. S. Anakath
S. Rajakumar
S. Ambika
Publikationsdatum: 19.09.2017
Verlag: Springer US
Erschienen in: Cluster Computing / Ausgabe Sonderheft 5/2019
Print ISSN: 1386-7857
Elektronische ISSN: 1573-7543
DOI: https://doi.org/10.1007/s10586-017-1181-0

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