• DocumentCode
    2569337
  • Title

    An Efficient Compression Algorithm (ECA) for Text Data

  • Author

    Jain, Amit ; Patel, Ravindra

  • Author_Institution
    Mandsaur Inst. of Technol., Mandsaur, India
  • fYear
    2009
  • fDate
    15-17 May 2009
  • Firstpage
    762
  • Lastpage
    765
  • Abstract
    Data compression algorithms are used to reduce the redundancy and storage requirement for data. Data compression is also an efficient approach to reduce communication costs by using available bandwidth effectively. Over the last decade we have seen an unprecedented explosion in the amount of digital data transmitted via the Internet in the form of text, images, video, sound, computer programs, etc. If this trend expected to continue, then it will be necessary to develop a compression algorithm that can most effectively use available network bandwidth by compressing the data at maximum level. Along with this it will also important to consider the security aspects of the compressed data transmitting over Internet, as most of the text data transmitted over the Internet is very much vulnerable to an attack. So, we are presenting an intelligent, reversible transformation technique that can be applied to source text that improve algorithm ability to compress and also offer a sufficient level of security to the transmitted data.
  • Keywords
    Internet; data analysis; data compression; data reduction; security of data; text analysis; Internet; data reduction; digital data transmission; efficient compression algorithm; reversible transformation technique; text data; Arithmetic; Bandwidth; Compression algorithms; Data compression; Data security; Dictionaries; Encoding; Explosions; Internet; Signal processing algorithms; Data compression; Dictionary Based Encoding; ECA; Lossless Compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    2009 International Conference on Signal Processing Systems
  • Conference_Location
    Singapore
  • Print_ISBN
    978-0-7695-3654-5
  • Type

    conf

  • DOI
    10.1109/ICSPS.2009.96
  • Filename
    5166891