Identity Management in Cloud Systems

Tormo, Ginés Dólera; Mármol, Félix Gómez; Pérez, Gregorio Martínez

doi:10.1007/978-3-642-38586-5_6

Cited by 6 publications

(1 citation statement)

References 26 publications

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“…(iii) Information management : Functionalities of the IMS must cater for attribute aggregation, revocation and defined disclosure levels. In addition, threats to IMS were categorised as threats to trust level between the entities of the IMS, threats from attack to functioning of the system and threats to user privacy [6]. Future models of IMS design will need to have a huge emphasis towards ensuring user privacy in the online transactions [7] [8].…”

Section: Related Workmentioning

confidence: 99%

Integrated Framework for Anonymous Biometric Key Based Identity Management System

Suresh*¹,

Radhika²

2019

IJRTE

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Implementation of measures to ensure security of transactions while ensuring privacy of user credentials is an area of challenge in digital transactions over a network. Integration of biometric pattern matching into an identity management system (IMS) enhances security of transactions and improves ease of use. Privacy of users in a biometric based system is improved by using keys generated directly from feature sets instead of conventional stored templates. This paper proposes a framework for integrating biometric key based authentication into an IMS.The generated keys need to be long, reproducible with high integrity and need to possess sufficient entropy. Generation of keys directly from feature traits poses a challenge due to intra and inter user variations inherent to biometric data. A novel methodology for generating and integrating crytpo keys into an identity management system is proposed. The keys have been extracted from iris trait. 300 bits keys have been extracted from iris datasets. The results are promising and can be extended to multi-modal biometric feature sets.

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Section: Related Workmentioning

confidence: 99%