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Improving biometrics authentication with a multi-factor approach based on optical interference and chaotic maps

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Abstract

We propose a method to improve biometric authentication systems using a multifactor approach. For this security scheme a user authenticates successfully using a set of three characteristics related to physical, possession and knowledge factors. Besides biometric authentication representing the physical factor, we propose the use of an optical authentication technique based on two-beam interference and chaotic maps. In this sense, the seed of a chaotic map represents a user password corresponding to a knowledge factor and a resultant interferogram from optical authentication technique is used as a possession factor. The feasibility of our method is tested using numerical simulation. Moreover, key space and statistical analysis are performed to demonstrate the effectiveness of the solution.

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References

  1. Abraham J, Gao J, Kwan P (2011) Fingerprint matching using a hybrid shape and orientation descriptor. INTECH Open Access Publisher

  2. Abuturab MR (2013) Color image security system based on discrete hartley transform in gyrator transform domain. Opt Lasers Eng 51(3):317–324

    Article  Google Scholar 

  3. Abuturab MR (2013) Information authentication system using interference of two beams in gyrator transform domain. Appl Opt 52(21):5133–5142

    Article  Google Scholar 

  4. Alfalou A, Mansour A (2009) Double random phase encryption scheme to multiplex and simultaneous encode multiple images. Appl Opt 48(31):5933–5947

    Article  Google Scholar 

  5. Amin R, Islam SH, Biswas G, Khan MK, Leng L, Kumar N (2016) Design of an anonymity-preserving three-factor authenticated key exchange protocol for wireless sensor networks. Comput Netw 101:42–62

    Article  Google Scholar 

  6. Anzaku ET, Sohn H, Ro YM (2010) Multi-factor authentication using fingerprints and user-specific random projection. In: APWeb, pp 415–418

  7. Blömer J, Seifert JP (2003) Fault based cryptanalysis of the advanced encryption standard (AES). Springer, Berlin Heidelberg, pp 162–181

    MATH  Google Scholar 

  8. Borujeni SE, Eshghi M (2013) Chaotic image encryption system using phase-magnitude transformation and pixel substitution. Telecommun Syst 52(2):525–537

    Google Scholar 

  9. Cavoukian A, Stoianov A et al (2009) Biometric encryption chapter from the encyclopedia of biometrics. Office of the Information and Privacy Commissioner

  10. Chen Jx, Zhu Zl, Liu Z, Fu C, Zhang Lb, Yu H (2014) A novel double-image encryption scheme based on cross-image pixel scrambling in gyrator domains. Opt Express 22(6):7349–7361

    Article  Google Scholar 

  11. Chen Jx, Zhu Zl, Fu C, Zhang Lb, Yu H (2015) Analysis and improvement of a double-image encryption scheme using pixel scrambling technique in gyrator domains. Opt Lasers Eng 66:1–9

    Article  Google Scholar 

  12. Daemen J, Rijmen V (2013) The design of Rijndael: AES-the advanced encryption standard. Springer Science & Business Media

  13. Dodis Y, Ostrovsky R, Reyzin L, Smith A (2008) Fuzzy extractors: how to generate strong keys from biometrics and other noisy data. SIAM J Comput 38(1):97–139

    Article  MathSciNet  MATH  Google Scholar 

  14. Elshamy AM, Rashed AN, Mohamed AENA, Faragalla OS, Mu Y, Alshebeili SA, Abd El-Samie F (2013) Optical image encryption based on chaotic baker map and double random phase encoding. J Lightwave Technol 31(15):2533–2539

    Article  Google Scholar 

  15. Fan D, Meng X, Wang Y, Yang X, Peng X, He W, Dong G, Chen H (2013) Optical identity authentication scheme based on elliptic curve digital signature algorithm and phase retrieval algorithm. Appl Opt 52(23):5645–5652

    Article  Google Scholar 

  16. Fan D, Meng X, Wang Y, Yang X, Pan X, Peng X, He W, Dong G, Chen H (2015) Multiple-image authentication with a cascaded multilevel architecture based on amplitude field random sampling and phase information multiplexing. Appl Opt 54(11):3204–3215

    Article  Google Scholar 

  17. Feng YC, Yuen PC, Jain AK (2010) A hybrid approach for generating secure and discriminating face template. IEEE Trans Inf Forens Secur 5(1):103–117

    Article  Google Scholar 

  18. Fleischhacker N, Manulis M, Azodi A (2014) A modular framework for multi-factor authentication and key exchange. In: Security standardisation research. Springer, pp 190–214

  19. Geisel T, Fairen V (1984) Statistical properties of chaos in chebyshev maps. Phys Lett A 105(6):263–266

    Article  MathSciNet  Google Scholar 

  20. Go W, Lee K, Kwak J (2014) Construction of a secure two-factor user authentication system using fingerprint information and password. J Intell Manuf 25 (2):217–230

    Article  Google Scholar 

  21. Haupt G, Mozer T (2015) Assessing biometric authentication: a holistic approach to accuracy. Biom Technol Today 2015(3):5–8

    Article  Google Scholar 

  22. He W, Peng X, Meng X, Liu X (2012) Optical hierarchical authentication based on interference and hash function. Appl Opt 51(32):7750–7757

    Article  Google Scholar 

  23. Huang X, Xiang Y, Chonka A, Zhou J, Deng RH (2011) A generic framework for three-factor authentication: preserving security and privacy in distributed systems. IEEE Trans Parallel Distrib Syst 22(8):1390–1397

    Article  Google Scholar 

  24. Jassim S, Al-Assam H, Sellahewa H (2009) Improving performance and security of biometrics using efficient and stable random projection techniques. In: Proceedings of 6th international symposium on image and signal processing and analysis, 2009. ISPA 2009. IEEE, pp 556–561

  25. Javidi B, Sergent A (1997) Fully phase encoded key and biometrics for security verification. Optical Eng 36(3):935–942

    Article  Google Scholar 

  26. Javidi B, Ahouzi E (1998) Optical security system with fourier plane encoding. Appl Opt 37(26):6247–6255

    Article  Google Scholar 

  27. Kang J, Nyang D, Lee K (2014) Two-factor face authentication using matrix permutation transformation and a user password. Inform Sci 269:1–20

    Article  MathSciNet  Google Scholar 

  28. Khan MK, Zhang J (2008) Multimodal face and fingerprint biometrics authentication on space-limited tokens. Neurocomputing 71(13):3026–3031

    Article  Google Scholar 

  29. Khan MK, Zhang J, Tian L (2007) Chaotic secure content-based hidden transmission of biometric templates. Chaos Solitons Fract 32(5):1749–1759

    Article  Google Scholar 

  30. Khan SH, Akbar MA, Shahzad F, Farooq M, Khan Z (2015) Secure biometric template generation for multi-factor authentication. Pattern Recog 48(2):458–472

    Article  Google Scholar 

  31. Kim J, Choi J, An J, Kim N, Lee K (2005) Digital holographic security system based on random phase encoded reference beams and fingerprint identification. Opt Commun 247(4):265–274

    Article  Google Scholar 

  32. Kong D, Shen X, Shen Y, Wang X (2014) Multi-image encryption based on interference of computer generated hologram. Optik-Int J Light Electron Opt 125 (10):2365–2368

    Article  Google Scholar 

  33. Kumar A, Lee HJ (2013) Multi-factor authentication process using more than one token with watermark security. In: Future information communication technology and applications. Springer, pp 579–587

  34. Kumar P, Joseph J, Singh K (2011) Optical image encryption using a jigsaw transform for silhouette removal in interference-based methods and decryption with a single spatial light modulator. Appl Opt 50(13):1805–1811

    Article  Google Scholar 

  35. Kwan PW, Gao J, Guo Y (2006) Fingerprint matching using enhanced shape context. In: Proceedings of the image and vision computing New Zealand. Citeseer, pp 115–120

  36. Leng L, Zhang J (2011) Dual-key-binding cancelable palmprint cryptosystem for palmprint protection and information security. J Netw Comput Appl 34(6):1979–1989

    Article  Google Scholar 

  37. Leng L, Zhang J (2011) Dual-key-binding cancelable palmprint cryptosystem for palmprint protection and information security. J Netw Comput Appl 34(6):1979–1989. Control and Optimization over Wireless Networks

    Article  Google Scholar 

  38. Leng L, Zhang J (2013) Palmhash code vs. palmphasor code. Neurocomputing 108:1–12

    Article  Google Scholar 

  39. Leng L, Teoh ABJ, Li M, Khan MK (2014) A remote cancelable palmprint authentication protocol based on multi-directional two-dimensional palmphasor-fusion. Secur Commun Netw 7(11): 1860–1871

    Article  Google Scholar 

  40. Li H, Zhang J, Zhang Z (2010) Generating cancelable palmprint templates via coupled nonlinear dynamic filters and multiple orientation palmcodes. Inform Sci 180 (20):3876–3893

    Article  Google Scholar 

  41. Li J, Zheng T, Liu Qz, Li R (2012) Double-image encryption on joint transform correlator using two-step-only quadrature phase-shifting digital holography. Opt Commun 285(7):1704–1709

    Article  Google Scholar 

  42. Li J, Zheng T, Liu Qz, Li R (2012) Image encryption with two-step-only quadrature phase-shifting digital holography. Optik-Int J Light Electron Opt 123 (18):1605–1608

    Article  Google Scholar 

  43. Li J, Li J, Pan Y, Li R (2014) Optical image hiding with a modified mach–zehnder interferometer. Opt Lasers Eng 55:258–261

    Article  Google Scholar 

  44. Liu H, Wang X (2010) Color image encryption based on one-time keys and robust chaotic maps. Comput Math Appl 59(10):3320–3327

    Article  MathSciNet  MATH  Google Scholar 

  45. Liu Z, Li S, Liu W, Wang Y, Liu S (2013) Image encryption algorithm by using fractional fourier transform and pixel scrambling operation based on double random phase encoding. Opt Lasers Eng 51(1):8–14

    Article  Google Scholar 

  46. Miller FP, Vandome AF, McBrewster J (2009) Advanced encryption standard. Alpha Press

  47. Nagar A, Nandakumar K, Jain AK (2010) A hybrid biometric cryptosystem for securing fingerprint minutiae templates. Pattern Recog Lett 31(8):733–741

    Article  Google Scholar 

  48. Nandakumar K (2008) Multibiometric systems: fusion strategies and template security. ProQuest

  49. Nguyen TAT, Nguyen DT, Dang TK (2015) A multi-factor biometric based remote authentication using fuzzy commitment and non-invertible transformation. In: Information and communication technology-EurAsia conference. Springer, pp 77–88

  50. Niu CH, Wang XL, Mao XH (2012) Multiple-image hiding based on interference principle. Opt Quant Electron 43(6–10):91–99

    Article  Google Scholar 

  51. Nomura T, Javidi B (2000) Optical encryption using a joint transform correlator architecture. Opt Eng 39(8):2031–2035

    Article  Google Scholar 

  52. Peng X, Zhang P, Wei H, Yu B (2006) Known-plaintext attack on optical encryption based on double random phase keys. Opt Lett 31(8):1044–1046

    Article  Google Scholar 

  53. Rajput SK, Nishchal NK (2013) Known-plaintext attack-based optical cryptosystem using phase-truncated fresnel transform. Appl Opt 52(4):871–878

    Article  Google Scholar 

  54. Rajput SK, Nishchal NK (2014) An optical encryption and authentication scheme using asymmetric keys. JOSA A 31(6):1233–1238

    Article  Google Scholar 

  55. Rajput SK, Nishchal NK (2014) Fresnel domain nonlinear optical image encryption scheme based on gerchberg–saxton phase-retrieval algorithm. Appl Opt 53 (3):418–425

    Article  Google Scholar 

  56. Rathgeb C, Uhl A (2011) A survey on biometric cryptosystems and cancelable biometrics. EURASIP J Inf Secur 2011(1):1

    Article  Google Scholar 

  57. Refregier P, Javidi B (1995) Optical image encryption based on input plane and fourier plane random encoding. Opt Lett 20(7):767–769

    Article  Google Scholar 

  58. Rhouma R, Meherzi S, Belghith S (2009) Ocml-based colour image encryption. Chaos Solitons Fractals 40(1):309–318

    Article  MATH  Google Scholar 

  59. Saini N, Sinha A (2010) Optics based biometric encryption using log polar transform. Opt Commun 283(1):34–43

    Article  Google Scholar 

  60. Saini N, Sinha A (2011) Soft biometrics in conjunction with optics based biohashing. Opt Commun 284(3):756–763

    Article  Google Scholar 

  61. Saini N, Sinha A (2013) Biometrics based key management of double random phase encoding scheme using error control codes. Opt Lasers Eng 51(8):1014–1022

    Article  Google Scholar 

  62. Situ G, Zhang J (2004) A lensless optical security system based on computer-generated phase only masks. Opt Commun 232(1):115–122

    Article  Google Scholar 

  63. Sui L, Gao B (2013) Color image encryption based on gyrator transform and arnold transform. Opt Laser Technol 48:530–538

    Article  Google Scholar 

  64. Wang H (2012) A no interference method for image encryption and decryption by an optical system of a fractional fourier transformation and a fourier transformation. In: Advances in multimedia, software engineering and computing, vol 1. Springer, pp 671–676

  65. Wang X, Chen W, Chen X (2014) Optical binary image encryption using aperture-key and dual wavelengths. Opt Express 22(23):28,077–28,085

    Article  Google Scholar 

  66. Wang X, Chen W, Chen X (2015) Optical information authentication using compressed double-random-phase-encoded images and quick-response codes. Opt Express 23(5):6239–6253

    Article  Google Scholar 

  67. Yang YG, Xia J, Jia X, Zhang H (2013) Novel image encryption/decryption based on quantum fourier transform and double phase encoding. Quant Inf Process 12(11):3477–3493

    Article  MathSciNet  MATH  Google Scholar 

  68. Yuan S, Zhang T, Zhou X, Liu X, Liu M (2013) An optical authentication system based on encryption technique and multimodal biometrics. Opt Laser Technol 54:120–127

    Article  Google Scholar 

  69. Zhang J, Khan MK (2011) Cancelable palmcode generated from randomized gabor filters for palmprint template protection

  70. Zhang Y, Wang B (2008) Optical image encryption based on interference. Opt Lett 33(21):2443–2445

    Article  Google Scholar 

  71. Zhang Y, Xiao D (2013) Double optical image encryption using discrete chirikov standard map and chaos-based fractional random transform. Opt Lasers Eng 51(4):472–480

    Article  Google Scholar 

  72. Zhou NR, Hua TX, Gong LH, Pei DJ, Liao QH (2015) Quantum image encryption based on generalized arnold transform and double random-phase encoding. Quant Inf Process 14(4):1193–1213

    Article  MathSciNet  MATH  Google Scholar 

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Authors and Affiliations

  1. Universidade Federal Rural do Semi-Árido - UFERSA, Mossoró, Brazil

    Daniel Souza

  2. Universidade Federal do Rio Grande do Norte - UFRN, Natal, Brazil

    Aquiles Burlamaqui

  3. Universidade Federal da Paraíba, João Pessoa, Brazil

    Guido Souza Filho

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  1. Daniel Souza
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  2. Aquiles Burlamaqui
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  3. Guido Souza Filho
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Correspondence to Daniel Souza.

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Souza, D., Burlamaqui, A. & Souza Filho, G. Improving biometrics authentication with a multi-factor approach based on optical interference and chaotic maps. Multimed Tools Appl 77, 2013–2032 (2018). https://doi.org/10.1007/s11042-017-4374-x

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  • DOI: https://doi.org/10.1007/s11042-017-4374-x

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