• DocumentCode
    2625857
  • Title

    Programmable chaos generator, based on CNN architectures, with applications in chaotic communications

  • Author

    Caponetto, R. ; Criscione, M. ; Fortuna, L. ; Occhipinti, D. ; Occhipinti, L.

  • Author_Institution
    Dept. of Electr., Electron. & Syst. Eng., Catania Univ., Italy
  • fYear
    1998
  • fDate
    14-17 Apr 1998
  • Firstpage
    124
  • Lastpage
    129
  • Abstract
    The paper deals with one of the most challenging application in the field of chaos theory; the chaotic communication. A new model of a programmable device for chaos generation, oriented to chaotic communications, will be reported, together with some examples. The basic building blocks of the circuit, synthesized by using a 0.5 μm CMOS technology, are described as well as their design, characteristics and functionality. Several chaotic dynamics are obtained by selecting a set of digital parameters. A chaotic communication scheme, which is based, on the inverse system synchronization method, is finally described, and a brief overview of possible application fields, engineering challenges and issues will be carried out
  • Keywords
    CMOS integrated circuits; cellular neural nets; chaos; mixed analogue-digital integrated circuits; neural chips; neural net architecture; noise generators; security of data; telecommunication equipment; 0.5 mum; CMOS technology; CNN architectures; cellular neural nets; chaos generation; chaotic communications; chaotic dynamics; inverse system synchronization method; programmable chaos generator; CMOS technology; Cellular neural networks; Chaotic communication; Circuit synthesis; Cryptography; Master-slave; Microelectronics; Noise generators; Semiconductor device modeling; Signal generators;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cellular Neural Networks and Their Applications Proceedings, 1998 Fifth IEEE International Workshop on
  • Conference_Location
    London
  • Print_ISBN
    0-7803-4867-2
  • Type

    conf

  • DOI
    10.1109/CNNA.1998.685347
  • Filename
    685347