• DocumentCode
    2622505
  • Title

    PIMSI: A Partial Image Spam Inspector

  • Author

    Klangpraphant, Pattaraporn ; Bhattarakosol, Pattarasinee

  • Author_Institution
    Dept. of Math., Chulalongkorn Univ., Bangkok, Thailand
  • fYear
    2010
  • fDate
    21-23 May 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    At the present time, the high enlargement of spam e-mail is not easy to preclude and the spam is vastly stretch. These spam e-mails cause various problems to the Internet users, for instance full mailbox, and wasting time. Consequently, prodigious methods have been proposed but most of them have some limitations in mapping features and the processing times. Therefore, this paper proposed a novel method that can detect a set of image spam e- mail called a Partial Image Spam Inspector (PIMSI). The method focuses on spam that consists of both texts and images over the e-mail system. The significant feature of this technique is that it will sensitively protect the distribution of all messages which have a partial similarity of spam e- mail. As a result, users will have a green mailbox as wishes.
  • Keywords
    Internet; e-mail filters; unsolicited e-mail; Internet; PIMSI; green mailbox; image spam e-mail; partial image spam inspector; text spam; Brightness; Displays; Electronic mail; Humans; Internet; Mathematics; Postal services; Solids; Unsolicited electronic mail; Visual perception;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Future Information Technology (FutureTech), 2010 5th International Conference on
  • Conference_Location
    Busan
  • Print_ISBN
    978-1-4244-6948-2
  • Type

    conf

  • DOI
    10.1109/FUTURETECH.2010.5482767
  • Filename
    5482767