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Issue:Generalized Net Model for Information Encryption by Chua and Neural Networks

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Title of paper: Generalized Net Model for Information Encryption by Chua and Neural Networks
Author(s):
Stanimir Surchev
Computer Systems and Technologies Department, “Prof. Assen Zlatarov” University, 1 “Prof. Yakimov” Blvd., 8010 Burgas, Bulgaria
ssurchev@gmail.com
Sotir Sotirov
Computer Systems and Technologies Department, “Prof. Assen Zlatarov” University, 1 “Prof. Yakimov” Blvd., 8010 Burgas, Bulgaria
ssotirov@btu.bg
Maciej Krawczak
Systems Research Institute, Polish Academy of Sciences
Warsaw School of Information Technology, Warsaw, Poland
krawczak@ibspan.waw.pl
Published in: "Issues in IFSs and GNs", Volume 12 (2015/2016), pages 129-138
Download:  PDF (404  Kb, Info)
Abstract: In this paper, a generalized net model of cryptographic method is described. The basic components for encryption and decryption of information are signals from Chua’s circuit and Multilayer neural network.
Keywords: Neural network, Generalized net, Chua’s circuit, Cryptography.
References:
  1. Atanassov K, Generalized Nets, World Scientific, Singapore, 1991.
  2. Diffie W., M. Hellman, New Direction in Cryptography, IEEE Transitions on Information Theory, Vol. IT-22, Nov. 1976, 644–654.
  3. Diffie, W., M. Hellman, Multi-user cryptographic techniques. AFIPS Proceedings 45, 1976, 109–112.
  4. Matsumoto, T., L. O. Chua and M. Komuro. The double scroll. IEEE Trans. on Circuits & Syst., CAS-32(8), 1985, 797–818.
  5. McCulloch, P. Walter, A logical calculus of the ideas immanent in nervous activity, Bulletin of Mathematical Biophysics, Vol. 5, 1943, 115–133.
  6. Vankov, P., Vankova, D. Experience – Based Innovative Programme in Varna, Bulgaria. Education & Professional Development of Engineers in the Maritime Industry, 9–10 December, London, UK, The Royal Institution of Naval Architects, 23–26.
  7. Vankov, P., Vankova, D. Sustainable Educational & Emotional Model – An Experience from Bulgaria. Proceedings of Edulearn 15 Conference, 6-8 July 2015, Barcelona, Spain, 1600–1605.
  8. Vankov, P. Freight Containers Maritime Transportation’ Risks – Research Experience and Future Perspectives, Proceedings of Тwelfth International Conference on Marine Sciences and Technologies, September 25-27, 2014, 170–172.
  9. Volná, E., Using Neural network in cryptography. The State of the Art in Computational Intelligence, 2000, 262–267.
  10. Wolfgang Kinzel and Ido Kanter, Interacting neural networks and cryptography, Advances in Solid State Physics, Ed. by B. Kramer, Springer, Berlin, 2002, Vol. 42, p. 383.
  11. Sotirov S, V. Kukenska, M. Hristova, I. Vardeva, L. Staneva, J. Barzov, S. Dimitrov, S. Stoqnova, Мodeling the nonlinear autoregressive network with exogenous inputs with generalized net, Development in Fuzzy Sets, Intuitionistic Fuzzy Sets, Generalized Nets and Related Topics. Vol II: Applications, System Research Institute, Polish Academy of Science. Warsaw, 2010, 223–230.
  12. Petkov T., S. Sotirov, Generalized net model of slow learning algorithm of unsupervised ART2 neural network, Proc. of Twelfth International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets (IWIFSGN'2013), Warsaw, 2014, 61–70.
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