Muhammad Khurram -journal-5 - King Saud University Repository

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Title

Chaos and NDFT
-
based Concealing of Fingerprint
-
biometric Data into Audio Signals
for Trustworthy Person Authentication

Author
-
s

Muhammad Khurram Khan

Contact lnfo

King Saud University, Riyadh, Kingdom of Saudi Arabia


khurram.khan@scientist.com

Department

Center of Excellence in Information Assurance, King Saud University, Kingdom of Saudi
Arabia

Major


citation


Year of
Publication

January 2010

Publisher

Digital Signal Processing (DSP), Elsevi
er Science

Sponsor



Type of
Publication


ISSN

1051
-
2004 doi>
10.1016/j.dsp.2009.05.004

URI/DOI

http://coeia.edu.sa/images/stories/papers/statistical
-
analysis
-
of
-
several
-
reversible
-
data
-
hiding
-
algorithms.pdf


Full Text
(Yes,No)

yes

Key words



Audio signal, Biometrics, Fingerprint, Security, Template

Abst
ract

This paper presents a challenge/response
-
based biometric image scrambling
scheme which attempts to overcome the liveness and retransmission issues of
biometric image transmission over insecure communication channel. An
intelligent biometric sensor is
proposed which has computational power to
receive challenges from authentication server and generates response against
the challenge with encrypted biometric image. The fractional Fourier transform
(FRT) has been used for a biometric image encryption proce
ss with its scaling
factors and random phase masks as the secret keys. The random phase masks
of FRT are chaotically generated by piecewise linear chaotic map (PWLCM) to
further improve the encryption security. Experimental and simulation results
have demo
nstrated that the proposed system is secure, robust, and deters the
risks of attacks for secure biometric image transmission.