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MEHTA, G. DUTTA, M. KARÁSEK, J. KIM, P.
Originální název
An Efficient and Lossless Fingerprint Encryption Algorithm Using Henon Map & Arnold Transformation
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
In this paper two stage biometric data protection scheme is being proposed using permutation and substitution mechanism of the chaotic theory which is lossless in nature. Arnold transformation and Henon map is used to design an efficient encryption system. The encryption method is aimed at generating an encrypted image that will have statistical properties completely dissimilar from the original image analysis which will make it difficult for any intruder to find any predictable relationship between the original and its corresponding encrypted image. The performance of the method has been experimentally analyzed using statistical analysis and correlation based methods. Correlation coefficient analysis is done to evaluate the behavior of pixels in horizontal and vertical directions and the results are found to be encouraging. This protection scheme provides the ability to encrypt the data and secure it from unauthorized users. Upon decryption the data is completely recovered making this scheme a lossless and efficient method of biometric data security.
Klíčová slova
Biometric Encryption, Henon Map, Arnold Map, Authentication, Minutiae point matching
Autoři
MEHTA, G.; DUTTA, M.; KARÁSEK, J.; KIM, P.
Rok RIV
2013
Vydáno
13. 12. 2013
Místo
Thiruvananthapuram, Kerala, Republic of India
ISBN
978-1-4799-0573-7
Kniha
2013 International Conference on Control, Communication and Computing (ICCC 2013)
Strany od
485
Strany do
489
Strany počet
5
BibTex
@inproceedings{BUT102103, author="Garima {Mehta} and Malay Kishore {Dutta} and Jan {Karásek} and Pyung Soo {Kim}", title="An Efficient and Lossless Fingerprint Encryption Algorithm Using Henon Map & Arnold Transformation", booktitle="2013 International Conference on Control, Communication and Computing (ICCC 2013)", year="2013", pages="485--489", address="Thiruvananthapuram, Kerala, Republic of India", isbn="978-1-4799-0573-7" }