01492nas a2200217 4500008004100000020002200041245002500063210002500088260005100113300001200164520088400176100001701060700002801077700001501105700002001120700001801140700002601158700002801184700001201212856005001224 2010 eng d a978-3-642-11322-200aEmail Shape Analysis0 aEmail Shape Analysis aBerlin, HeidelbergbSpringer Berlin Heidelberg a18–293 a
Email has become an integral part of everyday life. Without a second thought we receive bills, bank statements, and sales promotions all to our inbox. Each email has hidden features that can be extracted. In this paper, we present a new mechanism to characterize an email without using content or context called Email Shape Analysis. We explore the applications of the email shape by carrying out a case study; botnet detection and two possible applications: spam filtering, and social-context based finger printing. Our in-depth analysis of botnet detection leads to very high accuracy of tracing templates and spam campaigns. However, when it comes to spam filtering we do not propose new method but rather a complementing method to the already high accuracy Bayesian spam filter. We also look at its ability to classify individual senders in personal email inbox’s.
1 aSroufe, Paul1 aPhithakkitnukoon, Santi1 aDantu, Ram1 aCangussu, João1 aKant, Krishna1 aPemmaraju, Sriram, V.1 aSivalingam, Krishna, M.1 aWu, Jie uhttp://dx.doi.org/10.1007/978-3-642-11322-2_7