• DocumentCode
    1628514
  • Title

    File Compression Using Typogenetic Computation

  • Author

    Chan, Andrew ; Chaczko, Zenon ; Chiu, Chris ; Zielinski, Ryszard

  • Author_Institution
    Univ. of Technol. Sydney, Sydney, NSW
  • fYear
    2008
  • Firstpage
    202
  • Lastpage
    208
  • Abstract
    Typogenetic algorithms are a break from classical approaches to computation. Based on gene expression and intercellular processes, typo-genetic computation can offer a new approach to the algorithmic problems of system security, data compression and encryption. The method has a potential of much higher compression ratios at the limited computational costs i.e. processing time. This paper presents a formal system based on typogenetics for the purposes of compression. Lossless data compression is an important part of computer science. While the ability to reduce consumption of hard disk space or transmission bandwidth through statistical redundancy has served well in the past, the explosive growth in high quality media content (*.mp3, *.mpg) on the internet in the past few years have highlighted the limitations of traditional statistical techniques for compression.
  • Keywords
    cryptography; data compression; file organisation; Internet; data compression; encryption; file compression; system security; typogenetic computation; Bandwidth; Computational efficiency; Computer science; Cryptography; Data compression; Data security; Explosives; Gene expression; Hard disks; Internet; Lossless data compression; Typogenetics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Broadband Communications, Information Technology & Biomedical Applications, 2008 Third International Conference on
  • Conference_Location
    Gauteng
  • Print_ISBN
    978-1-4244-3281-3
  • Electronic_ISBN
    978-0-7695-3453-4
  • Type

    conf

  • DOI
    10.1109/BROADCOM.2008.79
  • Filename
    4696110