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
Link To Document