Abstract
In biometric-based security systems, generation of random biometric keys is a significant means to realize secure, reliable and robust data confidentiality. Here, a novel method for stream cipher design is proposed using biometric fingerprint template. The biometric feature vector is extracted from user’s fingerprint in discrete wavelet transform domain. The feature vector is shuffled and inter-mixed with chaotic sequence to eliminate similar patterns, if any. The whole method of enciphering and deciphering is under the control of user’s secret key and fingerprint template. The method is apt enough to yield great encryption effect and can resist cryptographic attacks. The method is tested on digital images to investigate its encryption performance. The measures like histogram distribution, pixels auto-correlation, entropy, plain-image sensitivity are assessed and compared with recent proposals to demonstrate effectiveness, suitability and consistency of proposed method.
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References
Jagadeesan, A., Duraiswamy, K.: Secured cryptographic key generation from multimodal biometrics: feature level fusion of fingerprint and iris. Int. J. Comput. Sci. Inf. Secur. 7(2), 28–37 (2010)
Jin, A.T.B., Ling, D.N.C., Goh, A.: Biohashing: two factor authentication featuring fingerprint data and tokenized random number. Pattern Recogn. 37(11), 2245–2255 (2004)
Bhoi, N., Mohanty, M.N.: Template matching based eye detection in facial image. Int. J. Comput. Appl. 12(5), 15–18 (2010)
Khan, K.M., Zhang, J., Tian, L.: Chaotic secure content-based hidden transmission of biometric templates. Chaos, Solitons Fractals 32(5), 1749–1759 (2007)
Maiorana, E.: Biometric cryptosystem using function based on-line signature recognition. Expert Syst. Appl. 37(4), 3454–3461 (2010)
Kocarev, L., Galias, Z., Lian, S.: Intelligent Computing Based on Chaos. Springer, Berlin (2009)
Kocarev, L., Lian, S.: Chaos Based Cryptography: Theory, Algorithms and Applications. Springer, Berlin (2011)
Ahmad, M., Ahmad, T.: Securing multimedia color imagery using multiple high dimensional chaos based hybrid keys. Int. J. Commun. Netw. Distrib. Syst. 12(1), 113–128 (2014)
Verma, O.P., Nizam, M., Ahmad, M.: Modified multi chaotic systems that are based on pixel shuffle for image encryption. J. Inf. Process. Syst. 9(2), 271–286 (2013)
Jain, A., Bolle, R., Pankanti, S.: Biometrics: Personal Identification in Networked Society. Kluwer Academic Publisher, Dordrecht (2002)
Li, S., Chen, G., Mou, X.: On the dynamical degradation of digital piecewise linear chaotic maps. Int. J. Bifurcat. Chaos 15(10), 3119–3151 (2005)
Liu, Y., Tong, X.J.: A new pseudorandom number generator based on complex number chaotic equation. Chin. Phys. B 21(9), 090506–090508 (2012)
Alvarez, G., Li, S.: Some basic cryptographic requirements for chaos-based cryptosystems. Int. J. Bifurcat. Chaos 16(8), 2129 (2006)
Hermassi, H., Rhouma, R., Belghith, S.: Improvement of an image encryption algorithm based on hyper-chaos. Telecommun. Syst. 52(2), 539–549 (2013)
Kanso, A., Yahyaoui, H., Almulla, M.: Keyed hash function based on a chaotic map. Inf. Sci. 186(1), 249–264 (2012)
Wang, X.-Y., Chen, F., Wang, T.: A new compound mode of confusion and diffusion for block encryption of image based on chaos. Commun. Nonlinear Sci. Numer. Simul. 15(9), 2479–2485 (2010)
Fu, C., Lin, B., Miao, Y., Liu, X., Chen, J.: A novel chaos-based bit-level permutation scheme for digital image encryption. Opt. Commun. 284(23), 5415–5423 (2011)
Anees, A., Siddiqui, A.M., Ahmed, F.: Chaotic substitution for highly auto-correlated data in encryption algorithm. Commun. Nonlinear Sci. Numer. Simul. 19(9), 3106–3118 (2014)
Luo, Y., Du, M., Liu, J.: A symmetrical image encryption scheme in wavelet and time domain. Commun. Nonlinear Sci. Numer. Simul. 20(2), 447–460 (2015)
Sun, F., Lü, Z., Liu, S.: A new cryptosystem based on spatial chaotic system. Opt. Commun. 283(10), 2066–2073 (2010)
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Ahmad, M., Alam, B. (2015). A Novel Biometric Fingerprint Template Based Method for Stream Cipher Design. In: Mandal, J., Satapathy, S., Kumar Sanyal, M., Sarkar, P., Mukhopadhyay, A. (eds) Information Systems Design and Intelligent Applications. Advances in Intelligent Systems and Computing, vol 340. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2247-7_43
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DOI: https://doi.org/10.1007/978-81-322-2247-7_43
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