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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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Set of obfuscated spam dataset by using LeetSpeak transformations

Research datakeyboard_double_arrow_right Dataset 21 Mar 2022Publisher:Zenodo
Authors: De Mendizabal, I��aki Velez; Vidriales, Xabier; Fernandes, Vitor Basto; Ezpeleta, Enaitz; M��ndez, Jos�� Ram��n; Zurutuza, Urko;

doi: 10.5281/zenodo.6373652 , 10.5281/zenodo.6373653

Set of obfuscated spam dataset by using LeetSpeak transformations

Abstract

The usage of LeetSpeak and other text hiding tricks is often used by spammers in the distribution of unsolicited contents. To evaluate deobfuscation techniques and their impact on spam content classification, we preprocessed several popular public datasets to partially obfuscate the text. The datasets transformed are: YouTube Spam Collection [2, 3] which is available on https://www.dt.fee.unicamp.br/~tiago/youtubespamcollection/. a subset of YouTube Comments [4, 5] which is available on http://mlg.ucd.ie/yt/. CSDMC2010 which is available on http://csmining.org/index.php/spam-email-datasets-.html. TREC2007 which is available on https://plg.uwaterloo.ca/~gvcormac/treccorpus07/

Related Organizations
Keywords

Leetspeak, Text Deobfuscation, Spam filtering

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