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Issue No. 05 - September/October (2010 vol. 8)
ISSN: 1540-7993
pp: 42-47
Saeed Abu-Nimeh , Websense, San Diego
Thomas Chen , Swansea University, Swansea
ABSTRACT
The ease of posting comments and links in blogs has attracted spammers as an alternative venue to conventional email. An experimental study investigates the nature and prevalence of blog spam. Using Defensio logs, the authors collected and analyzed more than one million blog comments during the last two weeks of June 2009. They used a support vector machine (SVM) classifier combined with heuristics to identify spam posters' IP addresses, autonomous system numbers (ASN), and IP blocks. Experimental results show that more than 75 percent of blog comments during the reporting period are spam. In addition, the results show that blog spammers likely operate from a few colocation facilities.
INDEX TERMS
network-level security and protection; Web browser.
CITATION
Saeed Abu-Nimeh, Thomas Chen, "Proliferation and Detection of Blog Spam", IEEE Security & Privacy, vol. 8, no. , pp. 42-47, September/October 2010, doi:10.1109/MSP.2010.113
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