REVEALING NON-ALPHABETICAL GUISES OF SPAM-TRIGGER VOCABLES
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| Format: | Artículo científico |
| Sprache: | en |
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Universidad Nacional de Colombia
2013
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| _version_ | 1876433807117123584 |
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| author | SERGIO A. ROJAS-GALEANO |
| author_facet | SERGIO A. ROJAS-GALEANO |
| contents | REVEALING NON-ALPHABETICAL GUISES OF SPAM-TRIGGER VOCABLES SERGIO A. ROJAS-GALEANO Ingeniería Uncovering of spam vocables approximate string matching algorithm 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. 2013 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49629318007 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.182 Vol.80 |
| format | Artículo científico |
| id | redalyc_49629318007 |
| institution | Redalyc |
| language | en |
| publishDate | 2013 |
| publisher | Universidad Nacional de Colombia |
| spellingShingle | REVEALING NON-ALPHABETICAL GUISES OF SPAM-TRIGGER VOCABLES SERGIO A. ROJAS-GALEANO Ingeniería Uncovering of spam vocables approximate string matching algorithm REVEALING NON-ALPHABETICAL GUISES OF SPAM-TRIGGER VOCABLES SERGIO A. ROJAS-GALEANO Ingeniería Uncovering of spam vocables approximate string matching algorithm 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. 2013 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49629318007 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.182 Vol.80 |
| title | REVEALING NON-ALPHABETICAL GUISES OF SPAM-TRIGGER VOCABLES |
| topic | Ingeniería Uncovering of spam vocables approximate string matching algorithm |
| url | https://www.redalyc.org/articulo.oa?id=49629318007 |