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An EEG Encryption Scheme for Authentication System based on Brain Wave

뇌파 기반의 인증시스템을 위한 EEG 암호화 기법

  • Received : 2015.01.09
  • Accepted : 2015.02.08
  • Published : 2015.03.30

Abstract

Gradually increasing the value of the technology, the techniques of the various security systems to protect the core technology have been developed. The proposed security scheme, which uses both a Password and the various devices, is always open by malicious user. In order to solve that problem, the biometric authentication systems are introduced but they have a problem which is the secondary damage to the user. So, the authentication methods using EEG(Electroencephalography) signals were developed. However, the size of EEG signals is big and it cause a lot of problems for the real-time authentication. And the encryption method is necessary. In this paper, we proposed an efficient real-time authentication system applied encryption scheme with junk data using chaos map on the EEG signals.

Keywords

EEG(Electroencephalography);Authentication System;Chaos Map;XOR Operation;Encryption;Brain Wave

References

  1. W. Khalifa, A. Salem, M. Roushdy, and K, Revett, "A Survey of EEG based User Authentication Schemes," Proceeding of The 8th International Conference on Inforrmatics and Systems, pp. 55-60, 2012.
  2. W. Stallings, Network Security Essentials : Applications and Standards, Pearson Education, UK, 2013.
  3. S.I Shin, J.H Cho and M.N Kim, "Proposition for 4 Channel Frontal Lobe Electrode Configuration and Study on EOG Removal from Measured EEG," Journal of Korea Multimedia Society, Vol. 6, No. 1, pp. 167-175, 2003.
  4. A. Zúquete, B. Quintela, and J.P. da Silva Cunha, "Biometric Authentication using Brain Responses to Visual Stimuli," Biosignals, pp. 103-112, 2010.
  5. C. Shannon, "Communication Theory of Secrecy Systems," Bell Systems Journal, Vol. 28. No. 4, pp. 659-715, 1949.
  6. D.D. Patil, N.A. Nemade, and K.M. Attarde, "Iris Recognition using Fuzzy System," International Journal of Computer Science and Management Studies, Vol. 2, No. 3, pp. 14-17, 2013.
  7. J. FRIDRICH, “Image Encryption based on Chaotic Maps,” Proceeding of IEEE International Conference on Computational Cybernetics and Simulation, pp. 1105-1110, 1997.
  8. J.Y. Chung and Y.S. Hong, “Encryption Scheme of Image Header Information for Security of Ultra High Resolution Images,” Proceeding of Korea Computer Congress 2012, Vol. 39, No. 2C, pp. 107-109, 2012.
  9. J.Y. Chung and Y.S. Hong, “Parallel Image Encryption Schemes for Security of Ultra High Resolution Images,” Proceeding of Korea Computer Congress 2012, Vol. 39, No. 1C, pp. 274-276, 2012.
  10. C.F. Lin, S.H Shih, J.D. Zhu, and S.H Lee, “Implementation of An Offline Chaos-based EEG Encryption Software,” Proceeding of Advanced Communication Technology International Conference, pp. 430-433, 2012.
  11. C.F. Lin, S.H. Shih, J.D. Zhu, S.H. Lee, and C.W. Liu. "C# based EEG Encryption System using Chaos Algorithm," Proceeding of 1st International Conference Complex Systems and Chaos, pp.59-62, 2013.
  12. C.F. Lin and C.H. Chung, "A Chaos-based Visual Encryption Mechanism in Integrated ECG/EEG Medical Signals," Proceeding of Advanced Communication Technology ICACT 10th Intenational Conference, Vol. 3, pp. 1903-1907, 2008.
  13. C. Ashby, A. Bhatia, F. Tenore, and J. Vogelstein, "Low-cost Electroencephalogram (EEG) based Authentication," Proceeding of Neural Engineering, 5th International IEEE/ EMBS Conference, pp. 442-445, 2011.

Cited by

  1. Development of Efficient Encryption Scheme on Brain-Waves Using Five Phase Chaos Maps vol.16, pp.1, 2016, https://doi.org/10.5391/IJFIS.2016.16.1.59

Acknowledgement

Supported by : Kimpo University