Secure dynamic signature-crypto key computation

Beng Jin Teoh, Yip Wai Kuan

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Biometric-key computation is a process of converting a piece of live biometric data into a key. Among the various biometrics available today, the hand signature has the highest level of social acceptance. The general masses are familiar with the use of handwritten signature by means of verification and acknowledgement. On the other hand, cryptography is used in multitude applications present in technologically advanced society. Examples include the security of ATM cards, computer networks, and e-commerce. The signature crypto-key computation is hence of highly interesting as it is a way to integrate behavioral biometrics with the existing cryptographic framework. In this chapter, we report a dynamic hand signatures-key generation scheme which is based on a randomized biometric helper. This scheme consists of a randomized feature discretization process and a code redundancy construction. The former enables one to control the intraclass variations of dynamic hand signatures to the minimal level and the latter will further reduce the errors. Randomized biometric helper ensures that a signature-key is easy to be revoked when the key is compromised. The proposed scheme is evaluated based on the 2004 signature verification competition (SVC) database. We found that the proposed methods are able to produce keys that are stable, distinguishable, and secure.

Original languageEnglish
Title of host publicationBehavioral Biometrics for Human Identification
Subtitle of host publicationIntelligent Applications
PublisherIGI Global
Pages368-384
Number of pages17
ISBN (Print)9781605667256
DOIs
Publication statusPublished - 2009 Dec 1

Fingerprint

biometry
Hand
Social Distance
hands
e-commerce
Databases

All Science Journal Classification (ASJC) codes

  • Agricultural and Biological Sciences(all)

Cite this

Teoh, B. J., & Kuan, Y. W. (2009). Secure dynamic signature-crypto key computation. In Behavioral Biometrics for Human Identification: Intelligent Applications (pp. 368-384). IGI Global. https://doi.org/10.4018/978-1-60566-725-6.ch017
Teoh, Beng Jin ; Kuan, Yip Wai. / Secure dynamic signature-crypto key computation. Behavioral Biometrics for Human Identification: Intelligent Applications. IGI Global, 2009. pp. 368-384
@inbook{2007970df08f4e9eba1a954ccce318f9,
title = "Secure dynamic signature-crypto key computation",
abstract = "Biometric-key computation is a process of converting a piece of live biometric data into a key. Among the various biometrics available today, the hand signature has the highest level of social acceptance. The general masses are familiar with the use of handwritten signature by means of verification and acknowledgement. On the other hand, cryptography is used in multitude applications present in technologically advanced society. Examples include the security of ATM cards, computer networks, and e-commerce. The signature crypto-key computation is hence of highly interesting as it is a way to integrate behavioral biometrics with the existing cryptographic framework. In this chapter, we report a dynamic hand signatures-key generation scheme which is based on a randomized biometric helper. This scheme consists of a randomized feature discretization process and a code redundancy construction. The former enables one to control the intraclass variations of dynamic hand signatures to the minimal level and the latter will further reduce the errors. Randomized biometric helper ensures that a signature-key is easy to be revoked when the key is compromised. The proposed scheme is evaluated based on the 2004 signature verification competition (SVC) database. We found that the proposed methods are able to produce keys that are stable, distinguishable, and secure.",
author = "Teoh, {Beng Jin} and Kuan, {Yip Wai}",
year = "2009",
month = "12",
day = "1",
doi = "10.4018/978-1-60566-725-6.ch017",
language = "English",
isbn = "9781605667256",
pages = "368--384",
booktitle = "Behavioral Biometrics for Human Identification",
publisher = "IGI Global",

}

Teoh, BJ & Kuan, YW 2009, Secure dynamic signature-crypto key computation. in Behavioral Biometrics for Human Identification: Intelligent Applications. IGI Global, pp. 368-384. https://doi.org/10.4018/978-1-60566-725-6.ch017

Secure dynamic signature-crypto key computation. / Teoh, Beng Jin; Kuan, Yip Wai.

Behavioral Biometrics for Human Identification: Intelligent Applications. IGI Global, 2009. p. 368-384.

Research output: Chapter in Book/Report/Conference proceedingChapter

TY - CHAP

T1 - Secure dynamic signature-crypto key computation

AU - Teoh, Beng Jin

AU - Kuan, Yip Wai

PY - 2009/12/1

Y1 - 2009/12/1

N2 - Biometric-key computation is a process of converting a piece of live biometric data into a key. Among the various biometrics available today, the hand signature has the highest level of social acceptance. The general masses are familiar with the use of handwritten signature by means of verification and acknowledgement. On the other hand, cryptography is used in multitude applications present in technologically advanced society. Examples include the security of ATM cards, computer networks, and e-commerce. The signature crypto-key computation is hence of highly interesting as it is a way to integrate behavioral biometrics with the existing cryptographic framework. In this chapter, we report a dynamic hand signatures-key generation scheme which is based on a randomized biometric helper. This scheme consists of a randomized feature discretization process and a code redundancy construction. The former enables one to control the intraclass variations of dynamic hand signatures to the minimal level and the latter will further reduce the errors. Randomized biometric helper ensures that a signature-key is easy to be revoked when the key is compromised. The proposed scheme is evaluated based on the 2004 signature verification competition (SVC) database. We found that the proposed methods are able to produce keys that are stable, distinguishable, and secure.

AB - Biometric-key computation is a process of converting a piece of live biometric data into a key. Among the various biometrics available today, the hand signature has the highest level of social acceptance. The general masses are familiar with the use of handwritten signature by means of verification and acknowledgement. On the other hand, cryptography is used in multitude applications present in technologically advanced society. Examples include the security of ATM cards, computer networks, and e-commerce. The signature crypto-key computation is hence of highly interesting as it is a way to integrate behavioral biometrics with the existing cryptographic framework. In this chapter, we report a dynamic hand signatures-key generation scheme which is based on a randomized biometric helper. This scheme consists of a randomized feature discretization process and a code redundancy construction. The former enables one to control the intraclass variations of dynamic hand signatures to the minimal level and the latter will further reduce the errors. Randomized biometric helper ensures that a signature-key is easy to be revoked when the key is compromised. The proposed scheme is evaluated based on the 2004 signature verification competition (SVC) database. We found that the proposed methods are able to produce keys that are stable, distinguishable, and secure.

UR - http://www.scopus.com/inward/record.url?scp=84901549918&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84901549918&partnerID=8YFLogxK

U2 - 10.4018/978-1-60566-725-6.ch017

DO - 10.4018/978-1-60566-725-6.ch017

M3 - Chapter

SN - 9781605667256

SP - 368

EP - 384

BT - Behavioral Biometrics for Human Identification

PB - IGI Global

ER -

Teoh BJ, Kuan YW. Secure dynamic signature-crypto key computation. In Behavioral Biometrics for Human Identification: Intelligent Applications. IGI Global. 2009. p. 368-384 https://doi.org/10.4018/978-1-60566-725-6.ch017