Computationally secure authentication with noisy data

B. Schoenmakers; P.T. Tuyls

doi:10.1007/978-1-84628-984-2_9

Computationally secure authentication with noisy data

B. Schoenmakers, P.T. Tuyls

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic

16 Citations (Scopus)

Abstract

In this chapter we discuss authentication techniques involving data such as biometrics, which are assumed to be typical (essentially unique) for a particular person (or physical object). The data are captured by a sensor or measuring device, which is an imperfect process introducing some noise. Upon enrollment of a user, a sample of the noisy data is captured and stored as a template. Later, during authentication, another sample of the noisy data is captured and matched against the stored template.

Original language	English
Title of host publication	Security with noisy data : on private biometrics, secure key storage and anti-counterfeiting
Editors	P.T. Tuyls, B. Skoric, T. Kevenaar
Place of Publication	New York
Publisher	Springer
Pages	141-149
ISBN (Print)	978-1-84628-983-5
DOIs	https://doi.org/10.1007/978-1-84628-984-2_9
Publication status	Published - 2007

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10.1007/978-1-84628-984-2_9

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Computationally secure authentication with noisy data

Abstract

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