• DocumentCode
    2487570
  • Title

    A Method for Spam Fax Detection and Classification Based on Clustering

  • Author

    Li Qing ; Yu Hong-tao ; Li Peng

  • Author_Institution
    Nat. Digital Switching Syst. Eng. & Technol. Res. Center, Zhengzhou, China
  • fYear
    2010
  • fDate
    22-23 May 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In order to overcome the problem that the fax server was inadequate on the spam fax prevention, this paper provided a spam fax detection and classification method based on clustering. The method took advantage of behavioral characteristics of spam fax. And it separated spam faxes from normal faxes with clustering method on the basis of the skew detection. Then use OCR keywords recognition technology to classify spam faxes once again. This method is simple to implement with high accuracy, and it has applied successfully.
  • Keywords
    facsimile; optical character recognition; pattern clustering; unsolicited e-mail; OCR keywords recognition technology; behavioral characteristics; clustering based classification; fax server; skew detection; spam fax detection method; Advertising; Character generation; Character recognition; Clustering methods; Communications technology; Large-scale systems; Optical character recognition software; Switching systems; Systems engineering and theory; Unsolicited electronic mail;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Applications (ISA), 2010 2nd International Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5872-1
  • Electronic_ISBN
    978-1-4244-5874-5
  • Type

    conf

  • DOI
    10.1109/IWISA.2010.5473727
  • Filename
    5473727