NDLI: Optional multi-biometric cryptosystem based on fuzzy extractor

Content Provider	IEEE Xplore Digital Library
Author	Chi Chen Chaogang Wang Tengfei Yang Dongdai Lin Song Wang Jiankun Hu
Copyright Year	2014
Description	Author affiliation: Sch. of Eng. & Inf. Technol., Univ. of new South Wales, Canberra, ACT, Australia (Song Wang; Jiankun Hu) \|\| State Key Lab. of Inf. Security, Inst. of Inf. Eng., Beijing, China (Chi Chen; Chaogang Wang; Tengfei Yang; Dongdai Lin)
Abstract	Following the wide use of smart devices, biometric cryptosystem is used to protect users' privacy data. However, biometric cryptosystem is rarely used in the scenario of mobile cloud, because the biometric sensors are different on various devices. In this paper, an optional multi-biometric cryptosystem based on fuzzy extractor and secret share technology is proposed. Each of the enrolled biometric modality generates a feature vector, and then the feature vector is put into a fuzzy extractor to get a stable codeword, namely a bit-string. All the codewords are used to bind a random key based on a secret share method, and the key can be used to encrypt users' privacy data. During the verification phase, part of the enrolled biometric modalities are enough to recover the random key. Therefore, the proposed scheme can provide a user the same biometric key on different devices. In addition, experiment on a virtual multi-biometric database shows that the novel concept of optional multi-biometric cryptosystem is better than the corresponding uni-biometric cryptosystem both in matching accuracy and key entropy.
Starting Page	989
Ending Page	994
File Size	383486
Page Count	6
File Format	PDF
e-ISBN	9781479951482
DOI	10.1109/FSKD.2014.6980974
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Accuracy key generation Databases mobile cloud Fingerprint recognition multi-biometric Feature extraction fuzzy extractor cryptosystem Cryptography secret share Iris recognition
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Converting fingerprint local features to public key using fuzzy extractor.

A model for secure information storage and retrieval on cloud using multimodal biometric cryptosystem

Mobile Cloud Computing for Biometric Applications

A Novel Cryptosystem Based on Iris Key Generation (2008)

A Delaunay Triangle-Based Fuzzy Extractor for Fingerprint Authentication

Fuzzy Vault Crypto Biometric Key Based on Fingerprint Vector Features

Person identification based on multi-biometric characteristics

Secret Distribution for Secure Fingerprint Verification

A Multiple-Control Fuzzy Vault

Optional multi-biometric cryptosystem based on fuzzy extractor

Similar Documents

Converting fingerprint local features to public key using fuzzy extractor.

A model for secure information storage and retrieval on cloud using multimodal biometric cryptosystem

Mobile Cloud Computing for Biometric Applications

A Novel Cryptosystem Based on Iris Key Generation (2008)

A Delaunay Triangle-Based Fuzzy Extractor for Fingerprint Authentication

Fuzzy Vault Crypto Biometric Key Based on Fingerprint Vector Features

Person identification based on multi-biometric characteristics

Secret Distribution for Secure Fingerprint Verification

A Multiple-Control Fuzzy Vault

Optional multi-biometric cryptosystem based on fuzzy extractor