Correlations and Omori law in spamming (Articolo in rivista)

Type
Label
  • Correlations and Omori law in spamming (Articolo in rivista) (literal)
Anno
  • 2008-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1209/0295-5075/84/28004 (literal)
Alternative label
  • M. Pica Ciamarra1,2, A. Coniglio2 and L. de Arcangelis1 (2008)
    Correlations and Omori law in spamming
    in Europhysics letters (Print)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • M. Pica Ciamarra1,2, A. Coniglio2 and L. de Arcangelis1 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • M. Pica Ciamarra, SPIN-CNR A. Coniglio, SPIN-CNR L. de Arcangelis, Department of Information Engineering and CNISM, Second University of Naples - 81031 Aversa (CE), Italy, EU (literal)
Titolo
  • Correlations and Omori law in spamming (literal)
Abstract
  • The most costly and annoying characteristic of the e-mail communication system is the large number of unsolicited commercial e-mails, known as spams, that are continuously received. Via the investigation of the statistical properties of the spam delivering intertimes, we show that spams delivered to a given recipient are time correlated: if the intertime between two consecutive spams is small (large), then the next spam will most probably arrive after a small (large) intertime. Spam temporal correlations are reproduced by a numerical model based on the random superposition of spam sequences, each one described by the Omori law. This and other experimental findings suggest that statistical approaches may be used to infer how spammers operate. (literal)
Prodotto di
Autore CNR

Incoming links:


Autore CNR di
Prodotto
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi
data.CNR.it