Skip to main content

Biometric-Based Linguistic Solutions for Data Encryption and Sharing

  • Conference paper
  • First Online:
  • 1785 Accesses

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 926))

Abstract

This paper will describe new hybrid classes of secret sharing protocols joining features of linguistic secret division procedures with biometric threshold schemes. Such advanced protocols will be defined with application of different classes of formal grammars with standard or non-standard biometric patterns. Evaluation of such method will be done, as well as possible application for data and services management will be presented.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Chomsky, N.: Syntactic Structures. Mouton, London (1957)

    MATH  Google Scholar 

  2. Gregg, M., Schneier, B.: Security Practitioner and Cryptography Handbook and Study Guide Set. Wiley, Hoboken (2014)

    Google Scholar 

  3. Duolikun, D., Aikebaier, A., Enokido, T., Takizawa, M.: Design and evaluation of a quorum-based synchronization protocol of multimedia replicas. Int. J. Ad Hoc Ubiquit. Comput. 17(2/3), 100–109 (2014)

    Article  Google Scholar 

  4. Nakamura, S., Ogiela, L., Enokido, T., Takizawa, M.: Flexible synchronization protocol to prevent illegal information flow in peer-to-peer publish/subscribe systems. In: Barolli, L., Terzo, O. (eds.) Complex, Intelligent, and Software Intensive Systems. Advances in Intelligent Systems and Computing, vol. 611, pp. 82–93. Springer, Cham (2018)

    Chapter  Google Scholar 

  5. Ogiela, L.: Cognitive computational intelligence in medical pattern semantic understanding. In: Guo, M.Z., Zhao, L., Wang, L.P. (eds.) Proceedings of Fourth International Conference on Natural Computation, ICNC 2008, 18–20 October 2008, Jian, People’s Republic of China, vol. 6, pp. 245–247 (2008)

    Google Scholar 

  6. Ogiela, L.: Cryptographic techniques of strategic data splitting and secure information management. Pervasive Mobile Comput. 29, 130–141 (2016)

    Article  Google Scholar 

  7. Ogiela, L., Ogiela, M.R.: Insider threats and cryptographic techniques in secure information management. IEEE Syst. J. 11(2), 405–414 (2017)

    Article  Google Scholar 

  8. Ogiela, M.R. Ogiela, L., Ogiela, U.: Intelligent bio-inspired approach for secrecy management in the cloud. In: Ninth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, 3PGCIC, 08–10 November 2014, Guangzhou, People’s Republic of China, pp. 286–289

    Google Scholar 

  9. Ogiela, M.R., Ogiela, U.: Secure information splitting using grammar schemes. In: New Challenges in Computational Collective Intelligence: Studies in Computational Intelligence, vol. 244, pp. 327–336 (2009)

    Google Scholar 

  10. Ogiela, M.R., Ogiela, U.: Secure information management in hierarchical structures. In: Advanced Computer Science and Information Technology: Communications in Computer and Information Science, vol. 195, pp. 31–35 (2011)

    Google Scholar 

  11. Ogiela, U., Takizawa, M., Ogiela, L.: Classification of cognitive service management systems in cloud computing. In: Barolli, L., Xhafa, F., Conesa, J. (eds.). Advances on Broad-Band Wireless Computing, Communication and Applications, BWCCA 2017. Lecture Notes on Data Engineering and Communications Technologies, vol. 12, pp 309–313. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-69811-3_28

  12. Yan, S.Y.: Computational Number Theory and Modern Cryptography. Wiley, Hoboken (2013)

    MATH  Google Scholar 

Download references

Acknowledgments

This work has been supported by the National Science Centre, Poland, under project number DEC-2016/23/B/HS4/00616.

This work was supported by JSPS KAKENHI grant number 15H0295.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Lidia Ogiela .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Ogiela, U., Takizawa, M., Ogiela, L. (2020). Biometric-Based Linguistic Solutions for Data Encryption and Sharing. In: Barolli, L., Takizawa, M., Xhafa, F., Enokido, T. (eds) Advanced Information Networking and Applications. AINA 2019. Advances in Intelligent Systems and Computing, vol 926. Springer, Cham. https://doi.org/10.1007/978-3-030-15032-7_16

Download citation

Publish with us

Policies and ethics