A Proposed Model for Authentication using Identity Detection

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Research areas:
Year:
2016
Type of Publication:
Article
Keywords:
Anonymity User, Decentralized Access, Authentication, Virtual Cloud
Authors:
Riyadh Abdulamir; Reham Mostafa; Hazem M. El-Bakry
Journal:
IJAIM
Volume:
4
Number:
5
Pages:
177-180
Month:
March
ISSN:
2320-5121
Abstract:
There are large numbers of algorithms that are specialized with encryption data in the cloud. Hackers and attackers always try to capture data from cloud or enter to systems illegally. Most of research work about identity detection is dependent on models that rely on using username and password. In this paper, instead of traditional approaches, a model that depends on iris recognition to detect the identity is proposed. Such model allows authorized user to enter the system and encrypt data at any time. Decentralized access data scheme is used for encryption because it reduces the possibility of breakthrough. Simulation results prove that the proposed model ensures high level of security and prevents the attackers to enter the cloud without knowing the identity. Despite there is no study that refers to results with 100% reliability, this study achieve high degree of privacy and security in the cloud environment compared to the other studies.
Full text: IJAIM_530_Final.pdf

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