• DocumentCode
    3193781
  • Title

    Study of the Hyperchaos-based Hash Function in E-commerce Applications

  • Author

    Jia, Rong ; Huang, Qiguo ; Peng, Jun

  • Author_Institution
    Office of Finance & Accounting, Chongqing Univ. of Sci. & Technol., Chongqing, China
  • Volume
    3
  • fYear
    2010
  • fDate
    11-12 May 2010
  • Firstpage
    451
  • Lastpage
    454
  • Abstract
    Along with the rapid development of Internet communication and e-commerce technology, the security is becoming more and more important. Digital signature technology by using hash function can effectively address the security issue. This paper presented a new iterated hash function based on a hyperchaotic cellular neural network system and a double-pipe structure in order to obtain the better cryptographic properties. The function encodes a message of arbitrary length into a hash value with a fixed 128-bit length. Computer simulation and theoretical analysis such as one-way property analysis and attacks resistance analysis are conducted and the results indicate that the proposed hash function has desirable security properties.
  • Keywords
    cellular neural nets; cryptography; digital signatures; electronic commerce; attacks resistance analysis; cryptographic properties; digital signature technology; double-pipe structure; e-commerce applications; hyperchaos-based hash function; hyperchaotic cellular neural network system; iterated hash function; one-way property analysis; Automation; Chaotic communication; Communication system security; Conference management; Digital signatures; Electronic commerce; Finance; Financial management; Internet; Public key cryptography; chaotic system; digital signature; e-commerce; hash function;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4244-7279-6
  • Electronic_ISBN
    978-1-4244-7280-2
  • Type

    conf

  • DOI
    10.1109/ICICTA.2010.513
  • Filename
    5522792