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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Future Generation Co...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Future Generation Computer Systems
Article . 2018 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
DBLP
Article . 2023
Data sources: DBLP
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Multimodal biometric Identity Based Encryption

Authors: Neyire Deniz Sarier;

Multimodal biometric Identity Based Encryption

Abstract

Abstract In this paper, we describe the first generic construction for multimodal biometric Identity Based Encryption considering two distance measures at the same time. Current protocols for fuzzy/biometric IBE are designed either for set overlap or Euclidean distance within unimodal biometrics. However, the similarity measures for biometric templates can be quite different from those considered in theoretical works. For instance, a fingerprint template usually consists of a set of minutiae, and two templates are considered as similar if more than a certain number of minutiae in one template are near distinct minutiae in the other. In this case, the similarity measure has to consider both Euclidean distance and set difference at the same time. Similarly, multimodal systems that are designed to address the limitations of unimodal systems may involve two different traits requiring different distance measures for each modality. In order to have high recognition rate and thus increased possibility of decryption even in case of white noise (slight perturbation of biometric features), our generic construction is based on two different biometric IBE systems encoding the same message. This way, employment of both distance measures is possible using multiple matchers within multimodal setting and a failure on the decryption of a message encrypted using the first biometric representation, can be compensated with an attempt on the second part of the ciphertext encrypting the same message but using a different representation of the same receiver. Specifically, we combine a fuzzy IBE-type scheme and the recently introduced Distance Based Encryption (DBE) scheme with minimum overhead in terms of public parameters, ciphertext and private key size. For this purpose, we describe an efficient biometric IBE scheme denoted as ordFIBE, which is restricted for biometrics that can be represented as an ordered/grouped set of features. We study the security of ordFIBE both in random oracle model (ROM) and for small universe of attributes in standard model. In ROM, its efficiency is further improved by employing online/offline encryption technique. Next, we instantiate the new construction by combining ordFIBE and the DBE scheme of Guo et al. (2014), which shares the same setup phase, in particular, common public parameters. Finally, we describe a new scheme for set difference metric that partially solves an open problem introduced in Katz et al. (2008).

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
20
Top 10%
Top 10%
Top 10%
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