Cryptographic Key Generation Using Biometrics
Key Generator
- W. Stallings, Cryptography and Network Security: Principles and Practice, 5th edition, Prentice Hall, 2010.Google Scholar
- Soutar, C.; Roberge, A. and Vijaya Kumar, B.V.K., “Biometric Encryption using Image Processing”, SPIE, pp. 178–188, 1998.Google Scholar
- Bolle, R.M.; Connel, J.H. and Ratha, N.K., “Biometrics Perils and Patches”, Elsevier - Pattern Recognition 35, pp. 2727–2738, 2002.Google Scholar
- Teoh, Andrew B.J.; Goh, A. and Ngo, D.C.L., “Random MultispaceQuantisation as an Analytic Mechanism for BioHashing of Biometric and Random Identity Inputs”, IEEE Transactions on Pattern Analysis and Machine Intelligence 28(12), pp. 1892–1901, 2006.Google Scholar
- Ratha, N.K.; Chikkerur, S.; Connell, J.H. and Bolle, R.M., “Generating Cancelable Fingerprint Templates”, IEEE Transactions on Pattern Analysis and Machine Intelligence, 29(4), pp. 561–572, 2007.Google Scholar
- Tulyakov, S.; Farooq, F. and Govindaraju, V., “Symmetric Hash Functions for Fingerprint Minutiae”, International Workshop on Pattern Recognition for Crime Prevention, Security and Surveillance (ICAPR 2005), 3687, pp. 30–38, 2005.Google Scholar
- Ang, R.; Rei, S.N. and McAven, L., “Cancelable Key-Based Fingerprint Templates”, Information Security and Privacy: 10th Australasian Conference (ACISP 2005), pp. 242–252, 2005.Google Scholar
- Maiorana, E.; Campisi, P.; Fierrez, J. and Ortega-Garcia, J., “Cancelable Templates for Sequence Based Biometrics with Application to On-line Signature Recognition”, IEEE Transactions on Systems, 40(3), pp. 525–538, 2010.Google Scholar
- Nanni, L. and Lumini, A., “Cancelable Biometrics: Problems and Solutions for Improving Accuracy”, NovaPublisher - Biometrics: Methods, Applications and Analysis, chap-7, pp. 153–166, 2010.Google Scholar
- F Monrose, MK Reiter, Q Li, S Wetzel, “Cryptographic key generation from voice”, Proceedings of IEEE Symposium on Security and Privacy, pp. 202–213, 2011.Google Scholar
- H Feng, CC Wah, “Private Key generation from on-line hand written signatures”, Information Management & Computer Security, 10(4), pp. 159–164, 2002.Google Scholar
- B Chen, V Chandran, “Biometric Based Cryptographic Key Generation from Faces”, Proceedings of 9th Biennial Conference of the Australian Pattern Recognition Society on Digital Image Computing Techniques and Applications, pp. 394–401, 2007.Google Scholar
- A Jagadeesan, K Duraiswamy, “Secured Cryptographic Key Generationfrom Multimodal Biometrics: Feature Level Fusion of Fingerprint and Iris”, Int. Journalon Computer Sc. & Information Security, 7(2), pp. 28–37, 2010.Google Scholar
- A Jagadeesan, T Thillaikkarasi, K Duraiswamy, “Cryptographic KeyGeneration from Multiple Biometrics Modalities: Fusing Minutiae with Iris Feature”, Int. J. Comput. Appl. 2(6), pp. 16–26, 2010.Google Scholar
- C Rathgeb, A Uhl., “Context-based biometric key generation for Iris”, IET Computer Vision, 5(6), pp. 389–397, 2011.Google Scholar
- D. Milao Q. Tang, and W. Fu, “Fingerprint minutia extraction based on principal curves,” Pattern Recognition Letters, Vol. 28, Issue 16, pp. 2184–2189, 2009.Google Scholar
Cryptographic Key Generation Using Biometrics Test
This work is related to the latter approach in CBS. In such a system, protecting the privacy of the biometric data is an important concern. Further, there is a need to generate different cryptographic keys from the same biometric template of a user. Cancellable transformation of biometric data prior to the key generation is known as a solution. And biometric-based cryptographic key generation targeted in this work. The former relies on good classifiers or user-specific templates to distinguish authentic user to potential imposters, while the latter transforms biometric features to a unique key that cannot be regenerated from biometric features of potential imposters. The goal of biometric. Biometrics gives a lot of methods in high-secure applications while using natural, user-friendly and fast authentication. Cryptography is intended to ensure the secrecy and authenticity of message. The cryptographic key will be long, so it is difficult to remember, protecting the confidentiality of the cryptographic keys is one of the.
Key Generation Software
Be addressed in a wide range of applications by generating strong cryptographic keys from biometric data, possibly in conjunctionwith the entry of a password 24, 3, 9, 15. This approach is attractive since it imposes no additional mem-orization on the user and yet can yield keys significantly stronger than passwords. These keys could then be. Aug 24, 2006 Cryptographic Key Generation from Biometric Data Using Lattice Mapping Abstract: Crypto-biometric systems are recently emerging as an effective process of key management to address the security weakness of conventional key release systems using pass-codes, tokens or pattern recognition based biometrics. The construction of cryptographic key from biometrics is used to make safe our system. To implement this concept, sender’s recent fingerprint would be used to construct key by combining it. Free windows 8.1 key generator.