Identification and Authentication in Large-Scale Storage Systems

Niu, Zhongying; Jiang, Hong; Zhou, Ke; Yang, Taowei; Yan, Wei

doi:10.1109/nas.2009.72

Cited by 5 publications

(3 citation statements)

References 28 publications

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“…However, the smartcard device used in large-scale systems introduces several weak points related to the distribution and the protection of keys, descriptors, and so on. Different solutions for keys management and distribution, involving decentralized CAs, have been proposed and evaluated (Michener & Acar, 2000; Nielsen & Hamilton, 2005; Niu et al , 2009).…”

Section: Authentication In Large-scale Systemsmentioning

confidence: 99%

“…e-commerce or e-banking services) need a high level of security. In Niu et al (2009), an architecture for large-scale storage system implementing a decentralized authentication and authorization schema is proposed. In a decentralized security system, each user and component (e.g.…”

Section: Keys Management and Distributionmentioning

confidence: 99%

“…Biometric sensors could be integrated by the needed solutions for keys management and distribution, involving decentralized certification authorities (CAs), as proposed and evaluated in Nielsen and Hamilton (2005), Michener and Acar (2000), and Niu et al . (2009).…”

Section: Introductionmentioning

confidence: 99%

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Biometric sensors rapid prototyping on field-programmable gate arrays

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Biometric user authentication in large-scale distributed systems involves passive scanners and networked workstations and databases for user data acquisition, processing, and encryption. Unfortunately, traditional biometric authentication systems are prone to several attacks, such as Replay Attacks, Communication Attacks, and Database Attacks. Embedded biometric sensors overcome security limits of conventional software recognition systems, hiding its common attack points. The availability of mature reconfigurable hardware technology, such as field-programmable gate arrays, allows the developers to design and prototype the whole embedded biometric sensors. In this work, two strong and invasive biometric traits, such as fingerprint and iris, have been considered, analyzed, and combined in unimodal and multimodal biometric sensors. Biometric sensor performance has been evaluated using the well-known FVC2002, CASIA, and BATH databases

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Section: Authentication In Large-scale Systemsmentioning

confidence: 99%

Section: Keys Management and Distributionmentioning

confidence: 99%