Spam filtering with sender authentication network
• SPF technique is extended to catch more spam e-mails. • Low resource demanding spam filtering technique has been developed. • Performance of the method is compared with SpamAssassin. • Spam e-mails are identified on the fly. • False-positive and false-negative values are admissible.
Autor*in: |
Dalkılıç, Gökhan [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2017 |
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Umfang: |
8 |
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Übergeordnetes Werk: |
Enthalten in: Efficient estimation of the error distribution function in heteroskedastic nonparametric regression with missing data - Chown, Justin ELSEVIER, 2016, the international journal for the computer and telecommunications industry, Amsterdam [u.a.] |
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Übergeordnetes Werk: |
volume:98 ; year:2017 ; day:15 ; month:01 ; pages:72-79 ; extent:8 |
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DOI / URN: |
10.1016/j.comcom.2016.12.008 |
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• SPF technique is extended to catch more spam e-mails. • Low resource demanding spam filtering technique has been developed. • Performance of the method is compared with SpamAssassin. • Spam e-mails are identified on the fly. • False-positive and false-negative values are admissible. |
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• SPF technique is extended to catch more spam e-mails. • Low resource demanding spam filtering technique has been developed. • Performance of the method is compared with SpamAssassin. • Spam e-mails are identified on the fly. • False-positive and false-negative values are admissible. |
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• SPF technique is extended to catch more spam e-mails. • Low resource demanding spam filtering technique has been developed. • Performance of the method is compared with SpamAssassin. • Spam e-mails are identified on the fly. • False-positive and false-negative values are admissible. |
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