Blending Biometric To Generate Symmetric Key for Cryptosystem
J.Lenin 1 , B. Sundaravadivazhagan2 , M. Sulthan Ibrahim3
Section:Survey Paper, Product Type: Journal Paper
Volume-7 ,
Issue-4 , Page no. 220-224, Apr-2019
CrossRef-DOI: https://doi.org/10.26438/ijcse/v7i4.220224
Online published on Apr 30, 2019
Copyright © J.Lenin, B. Sundaravadivazhagan, M. Sulthan Ibrahim . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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IEEE Style Citation: J.Lenin, B. Sundaravadivazhagan, M. Sulthan Ibrahim, “Blending Biometric To Generate Symmetric Key for Cryptosystem,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.4, pp.220-224, 2019.
MLA Style Citation: J.Lenin, B. Sundaravadivazhagan, M. Sulthan Ibrahim "Blending Biometric To Generate Symmetric Key for Cryptosystem." International Journal of Computer Sciences and Engineering 7.4 (2019): 220-224.
APA Style Citation: J.Lenin, B. Sundaravadivazhagan, M. Sulthan Ibrahim, (2019). Blending Biometric To Generate Symmetric Key for Cryptosystem. International Journal of Computer Sciences and Engineering, 7(4), 220-224.
BibTex Style Citation:
@article{Sundaravadivazhagan_2019,
author = {J.Lenin, B. Sundaravadivazhagan, M. Sulthan Ibrahim},
title = {Blending Biometric To Generate Symmetric Key for Cryptosystem},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2019},
volume = {7},
Issue = {4},
month = {4},
year = {2019},
issn = {2347-2693},
pages = {220-224},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4021},
doi = {https://doi.org/10.26438/ijcse/v7i4.220224}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i4.220224}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4021
TI - Blending Biometric To Generate Symmetric Key for Cryptosystem
T2 - International Journal of Computer Sciences and Engineering
AU - J.Lenin, B. Sundaravadivazhagan, M. Sulthan Ibrahim
PY - 2019
DA - 2019/04/30
PB - IJCSE, Indore, INDIA
SP - 220-224
IS - 4
VL - 7
SN - 2347-2693
ER -
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Abstract
Most of the human finds it hard to remember long cryptographic keys and it is highly impossible to remember the lengthy keys used in the cryptosystem nowadays. To overcome this memory related problem, the research community all around the world has been exploring approaches to utilize biometric features of the user to generate the secret key to be utilized in the encryption and decryption process and completely evade the difficulty of remembering the secret keys. This paper focuses on incorporation of the client`s biometric features to generate the secret key, in order to build the key arbitrary to intruder who is lacking of essential information about the client`s biometrics. The features present in the fingerprints are extracted in the form of 16X16 bit matrix and then the binary rows and columns in the extracted feature matrix are processed to produce a foolproof secret key. To strengthen the security measures and to nullify the intruders aim to crack the secret key, this paper blends two fingerprints of the user (sender and the receiver) and produces the secret symmetric key. Since two fingerprints are considered and the key extracted from each fingerprints are fused together in the formation of the secret key, the overall security of the system is improved considerably.
Key-Words / Index Term
biometric, security, symmetric, encryption, public key, cryptographic, fingerprints
References
[1] Nageshkumar.M, Mahesh.PK and M.N. ShanmukhaSwamy, “An Efficient Secure Multimodal Biometric Fusion Using Palmprint and Face Image”, IJCSI International Journal of Computer Science Issues, Vol. 2, 2009.
[2] Yan Yan and Yu-Jin Zhang, “Multimodal Biometrics Fusion Using Correlation Filter Bank", in proceedings of 19th International Conference on Pattern Recognition, pp. 1-4, Tampa, FL, 2008.
[3] T. Zhang, X. Li, D. Tao, and J. Yang, “Multi-modal biometrics using geometry preserving projections”, Pattern Recognition, vol. 41, no. 3, pp. 805-813, 2008.
[4] Muhammad Khurram Khan and Jiashu Zhang, "Multimodal face and fingerprint biometrics authentication on space-limited tokens", Neurocomputing, vol. 71, pp. 3026-3031, August 2008.
[5] Yi Wang ,Jiankun Hu and Fengling Han, "Enhanced gradient-based algorithm for the estimation of fingerprint orientation fields", Applied Mathematics and Computation, vol. 185, pp.823–833, 2007.