%0 Journal Article %1 spam-boykin %A Boykin, P. O. %A Roychowdhury, V. P. %C University of Florida, Gainesville, FL, United States %D 2005 %J Computer %K qual social-spam %N 4 %P 61-68+ %T Leveraging social networks to fight spam %V 38 %X The amount of unsolicited commercial e-mail - spam - has increased dramatically in the past few years. A recent study showed that 52 percent of e-mail users say spam has made them less trusting of e-mail, and 25 percent say that the volume of spam has reduced their e-mail use. This crisis has prompted proposals for a broad spectrum of potential so lutions. The objective of the various proposed legal and technical solutions is the same: to make sending spam unprofitable and thereby destroy the spammers' underlying business model. Achieving these goals requires widespread deployment and use of antispam techniques. To gain user confidence, a prerequisite for wide deployment, the tool must be accurate, user friendly, and computationally efficient. The authors describe a technique, predicated on recognizing the unique characteristics inherent to social networks, that simultaneously achieves all these requirements.

@article{spam-boykin, abstract = {{The amount of unsolicited commercial e-mail - spam - has increased dramatically in the past few years. A recent study showed that 52 percent of e-mail users say spam has made them less trusting of e-mail, and 25 percent say that the volume of spam has reduced their e-mail use. This crisis has prompted proposals for a broad spectrum of potential so lutions. The objective of the various proposed legal and technical solutions is the same: to make sending spam unprofitable and thereby destroy the spammers' underlying business model. Achieving these goals requires widespread deployment and use of antispam techniques. To gain user confidence, a prerequisite for wide deployment, the tool must be accurate, user friendly, and computationally efficient. The authors describe a technique, predicated on recognizing the unique characteristics inherent to social networks, that simultaneously achieves all these requirements.}}, added-at = {2011-09-28T23:59:32.000+0200}, address = {University of Florida, Gainesville, FL, United States}, author = {Boykin, P. O. and Roychowdhury, V. P.}, biburl = {https://www.bibsonomy.org/bibtex/21ce33dc81ff4a0c89c15bb242238f12b/dimitargn}, citeulike-article-id = {6674287}, interhash = {7e0515fb57cacc938f51306a6902b767}, intrahash = {1ce33dc81ff4a0c89c15bb242238f12b}, journal = {Computer}, keywords = {qual social-spam}, number = 4, pages = {61-68+}, posted-at = {2011-09-09 19:36:09}, priority = {3}, timestamp = {2011-10-13T17:45:16.000+0200}, title = {{Leveraging social networks to fight spam}}, volume = 38, year = 2005 }