• DocumentCode
    593679
  • Title

    Evolutionary study of web spam: Webb Spam Corpus 2011 versus Webb Spam Corpus 2006

  • Author

    De Wang ; Irani, Danesh ; Pu, Calton

  • Author_Institution
    Coll. of Comput., Georgia Inst. of Technol., Atlanta, GA, USA
  • fYear
    2012
  • fDate
    14-17 Oct. 2012
  • Firstpage
    40
  • Lastpage
    49
  • Abstract
    With over 2.5 hours a day spent browsing websites online [1] and with over a billion pages [2], identifying and detecting web spam is an important problem. Although large corpora of legitimate web pages are available to researchers, the same cannot be said about web spam or spam web pages. We introduce the Webb Spam Corpus 2011 - a corpus of approximately 330,000 spam web pages - which we make available to researchers in the fight against spam. By having a standard corpus available, researchers can collaborate better on developing and reporting results of spam filtering techniques. The corpus contains web pages crawled from links found in over 6.3 million spam emails. We analyze multiple aspects of this corpus including redirection, HTTP headers and web page content. We also provide insights into changes in web spam since the last Webb Spam Corpus was released in 2006. These insights include: 1) spammers manipulate social media in spreading spam; 2) HTTP headers also change over time (e.g. hosting ´P addresses of web spam appear in more ´P ranges); 3) Web spam content has evolved but the majority of content is still scam.
  • Keywords
    Web sites; search engines; unsolicited e-mail; HTTP header; Web page content; Web sites; Web spam detection; Webb Spam Corpus 2006; Webb Spam Corpus 2011; spam email; spam web pages; Logic gates; Unsolicited electronic mail; evolutionary; spam corpus; web spam;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom), 2012 8th International Conference on
  • Conference_Location
    Pittsburgh, PA
  • Print_ISBN
    978-1-4673-2740-4
  • Type

    conf

  • Filename
    6450891