Skip to main content
SpringerLink
Log in
Book cover

International Symposium on Computer and Information Sciences

ISCIS 2018: Computer and Information Sciences pp 196–210Cite as

The Random Neural Network with a BlockChain Configuration in Digital Documentation

  • Conference paper
  • First Online:

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 935))

Abstract

This paper presents the Random Neural Network in BlockChain configuration where neurons are gradually incremented as user information increases. The additional neurons codify both the new information to be added to the “neural block” and previous neurons potential to form the “neural chain”. This configuration provides the proposed algorithm the same properties as the BlockChain: security and decentralization with the same validation process: mining the input neurons until the neural network solution is found. The Random Neural Network in BlockChain configuration is applied to a digital documentation application that avoids the use of physical papers. Experimental results are presented with optimistic conclusions; this paper provides a digital step forward to avoid physical currencies, documentation and contracts.

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

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
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. Nakamoto, S.: Bitcoin: A Peer-to-Peer Electronic Cash System-Bitcoin.org. (2008)

    Google Scholar 

  2. Kosba, A., Miller, A., Shi, E., Wen, Z., Papamanthou, C.: Hawk: the Blockchain model of cryptography and privacy-preserving smart contracts. In: IEEE Symposium on Security and Privacy, pp. 839–858 (2016)

    Google Scholar 

  3. Yuan, Y., Wang, F.-Y.: Towards Blockchain-based intelligent transportation systems. In: International Conference on Intelligent Transportation Systems, pp. 2663–2668 (2016)

    Google Scholar 

  4. Biswas, K., Muthukkumarasamy, V.: Securing smart cities using Blockchain technology. International Conference High Performance Computing and Communications/Smart City/Data Science and Systems, pp. 1392–1393 (2016)

    Google Scholar 

  5. Huh, S., Cho, S., Kim, S.: Managing IoT devices using BlockChain platform. In: International Conference on Advanced Communication Technology, pp. 464–467 (2017)

    Google Scholar 

  6. Serrano, W., Yin, Y., Gelenbe, E.: The random neural network with deep learning clusters in smart search. Neurocomputing (2018) (To be published)

    Google Scholar 

  7. Serrano, W, Gelenbe, E.: Deep learning clusters in the cognitive packet network. Neurocomputing (2018) (To be published)

    Google Scholar 

  8. Serrano, W.: The random neural network with a genetic algorithm and deep learning clusters in fintech: smart investment. In: Iliadis, L., Maglogiannis, I., Plagianakos, V. (eds.) AIAI 2018. IAICT, vol. 519, pp. 297–310. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-92007-8_26

    Chapter  Google Scholar 

  9. Gelenbe, E.: Random neural networks with negative and positive signals and product form solution. Neural Comput. 1, 502–510 (1989)

    Article  Google Scholar 

  10. Gelenbe, E.: Learning in the recurrent random neural network. Neural Comput. 5, 154–164 (1993)

    Article  Google Scholar 

  11. Gelenbe, E.: G-networks with triggered customer movement. J. Appl. Probab. 30, 742–748 (1993)

    Article  MathSciNet  Google Scholar 

  12. Gelenbe, E., Hussain, K.F.: Learning in the multiple class random neural network. IEEE Trans. Neural Netw. 13(6), 1257–1267 (2002)

    Article  Google Scholar 

  13. Pointcheval, D.: Neural Networks and their Cryptographic Applications. Livre des resumes Eurocode Institute for Research in Computer Science and Automation, pp. 1–7 (1994)

    Google Scholar 

  14. Kinzel, W., Kanter, I.: Interacting Neural Networks and Cryptography Secure exchange of information by synchronization of neural networks. Adv. Solid State Phys. 42, 383–391 (2002)

    Article  Google Scholar 

  15. Klimov, A., Mityagin, A., Shamir, A.: Analysis of neural cryptography. In: Zheng, Y. (ed.) ASIACRYPT 2002. LNCS, vol. 2501, pp. 288–298. Springer, Heidelberg (2002). https://doi.org/10.1007/3-540-36178-2_18

    Chapter  Google Scholar 

  16. Volna, E., Kotyrba, M., Kocian, V., Janosek, M.: Cryptography based on the neural network. In: European Conference on Modelling and Simulation, pp. 1–6 (2012)

    Google Scholar 

  17. Yayık, A., Kutlu, Y.: Neural network based cryptography. Int. J. Neural Mass Parallel Comput. Inf. Syst. 24(2), 177–192 (2014)

    Google Scholar 

  18. Schmidt, T., Rahnama, H., Sadeghian, A.: A review of applications of artificial neural networks in cryptosystems. In: World Automation Congress, pp. 1–6 (2008)

    Google Scholar 

  19. Peters, Gareth W., Panayi, E.: Understanding modern banking ledgers through Blockchain technologies: future of transaction processing and smart contracts on the internet of money. In: Tasca, P., Aste, T., Pelizzon, L., Perony, N. (eds.) Banking Beyond Banks and Money. NEW, pp. 239–278. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-42448-4_13

    Chapter  Google Scholar 

  20. Zyskind, G., Nathan, O., Pentland, A.: Decentralizing privacy: using Blockchain to protect personal data. Security and Privacy Workshops, pp. 180–184 (2015)

    Google Scholar 

  21. Kishigami, J., Fujimura, S., Watanabe, H., Nakadaira, A., Akutsu, A.: The Blockchain-based digital content distribution system. Big Data Cloud Comput. 187–190 (2015)

    Google Scholar 

  22. Watanabe, H., Fujimura, S., Nakadaira, A., Miyazaki, Y., Akutsu, A., Kishigami, J.: Blockchain contract: Securing a Blockchain applied to smart contracts. In: International Conference on Consumer Electronics, pp. 467–468 (2016)

    Google Scholar 

  23. Aitzhan, N.Z., Svetinovic, D.: Security and privacy in decentralized energy trading through multi-signatures, Blockchain and anonymous messaging streams. IEEE Trans. Dependable Secur. Comput. 1–14 (2016)

    Google Scholar 

  24. Dorri, A., Kanhere, S.S., Jurdak, R., Gauravaram, P.: Blockchain for IoT security and privacy: The case study of a smart home. In: Pervasive Computing and Communications Workshops, pp. 1–6 (2017)

    Google Scholar 

  25. Kraft, D.: Difficulty control for Blockchain-based consensus systems. Peer-to-Peer Netw. Appl. 9(2), 397–413 (2016)

    Article  Google Scholar 

  26. Beck, R., Stenum, J., Lollike, N., Malone, S.: Blockchain-the gateway to trust-free cryptographic transactions. In: European Conference on Information Systems, pp. 1–14 (2016)

    Google Scholar 

  27. Heilman, E., Baldimtsi, F., Goldberg, S.: Blindly signed contracts: anonymous on-Blockchain and off-Blockchain bitcoin transactions. In: Clark, J., Meiklejohn, S., Ryan, Peter Y.A., Wallach, D., Brenner, M., Rohloff, K. (eds.) FC 2016. LNCS, vol. 9604, pp. 43–60. Springer, Heidelberg (2016). https://doi.org/10.1007/978-3-662-53357-4_4

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Intelligent Systems and Networks Group, Electrical and Electronic Engineering, Imperial College London, Kensington, UK

    Will Serrano

Authors
  1. Will Serrano
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Will Serrano .

Editor information

Editors and Affiliations

  1. Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Gliwice, Poland

    Tadeusz Czachórski

  2. Department of Electrical and Electronic Engineering, Imperial College London, London, UK

    Erol Gelenbe

  3. Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Gliwice, Poland

    Krzysztof Grochla

  4. University of Houston, Houston, TX, USA

    Ricardo Lent

Appendix: RNN – BlockChain Schematic

Appendix: RNN – BlockChain Schematic

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Serrano, W. (2018). The Random Neural Network with a BlockChain Configuration in Digital Documentation. In: Czachórski, T., Gelenbe, E., Grochla, K., Lent, R. (eds) Computer and Information Sciences. ISCIS 2018. Communications in Computer and Information Science, vol 935. Springer, Cham. https://doi.org/10.1007/978-3-030-00840-6_22

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-00840-6_22

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00839-0

  • Online ISBN: 978-3-030-00840-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation