SciELO - Scientific Electronic Library Online

 
vol.80 número182A NOVEL FUZZY PARAMETER FOR GROUND FLASH DENSITYA METHODOLOGY FOR KNOWLEDGE MODELING OF FAULT DIAGNOSIS BASED ON PETRI NETS índice de autoresíndice de assuntospesquisa de artigos
Home Pagelista alfabética de periódicos  

Serviços Personalizados

Artigo

Indicadores

Links relacionados

  • Em processo de indexaçãoCitado por Google
  • Não possue artigos similaresSimilares em SciELO
  • Em processo de indexaçãoSimilares em Google

Compartilhar


DYNA

versão impressa ISSN 0012-7353

Resumo

ROJAS-GALEANO, SERGIO A.. REVEALING NON-ALPHABETICAL GUISES OF SPAM-TRIGGER VOCABLES. Dyna rev.fac.nac.minas [online]. 2013, vol.80, n.182, pp.15-24. ISSN 0012-7353.

Unsolicited bulk email (spam) nowadays accounts for nearly 75% of daily email traffic, a figure that speaks strongly for the need of finding better protection mechanisms against its dissemination. A clever trick recently exploited by email spammers in order to circumvent textual-based filters, involves obfuscation of black-listed words with visually equivalent text substitutions from non-alphabetic symbols, in such a way it still conveys the semantics of the original word to the human eye (e.g. masking viagra as v1@gr@ or as v-i-a-g-r-a). In this paper we discuss how a simple-yet-effective adaptation of a classical algorithm for string matching may meet this stylish challenge to effectively reveal the similarity between genuine spam-trigger terms with their disguised alpha-numeric variants.

Palavras-chave : Uncovering of spam vocables; approximate string matching algorithm.

        · resumo em Espanhol     · texto em Espanhol     · Espanhol ( pdf )