Utilize este identificador para referenciar este registo:
http://hdl.handle.net/10071/30730
Autoria: | Mendizabal, I. V. Vidriales, X. Basto-Fernandes, V. Ezpeleta, E. Méndez, J. R. Zurutuza, U. |
Data: | 2023 |
Título próprio: | Deobfuscating leetspeak with deep learning to improve spam filtering |
Título da revista: | International Journal of Interactive Multimedia and Artificial Intelligence |
Volume: | 8 |
Número: | 4 |
Paginação: | 46 - 55 |
Referência bibliográfica: | Mendizabal, I. V., Vidriales, X., Basto-Fernandes, V., Ezpeleta, E., Méndez, J. R., & Zurutuza, U. (2023). Deobfuscating leetspeak with deep learning to improve spam filtering. International Journal of Interactive Multimedia and Artificial Intelligence, 8(4), 46-55. https://dx.doi.org/10.9781/ijimai.2023.07.003 |
ISSN: | 1989-1660 |
DOI (Digital Object Identifier): | 10.9781/ijimai.2023.07.003 |
Palavras-chave: | Convolutional neural networks Deep learning Leetspeak Spam filtering Text deobfuscation |
Resumo: | The evolution of anti-spam filters has forced spammers to make greater efforts to bypass filters in order to distribute content over networks. The distribution of content encoded in images or the use of Leetspeak are concrete and clear examples of techniques currently used to bypass filters. Despite the importance of dealing with these problems, the number of studies to solve them is quite small, and the reported performance is very limited. This study reviews the work done so far (very rudimentary) for Leetspeak deobfuscation and proposes a new technique based on using neural networks for decoding purposes. In addition, we distribute an image database specifically created for training Leetspeak decoding models. We have also created and made available four different corpora to analyse the performance of Leetspeak decoding schemes. Using these corpora, we have experimentally evaluated our neural network approach for decoding Leetspeak. The results obtained have shown the usefulness of the proposed model for addressing the deobfuscation of Leetspeak character sequences. © 2023, Universidad Internacional de la Rioja. |
Arbitragem científica: | yes |
Acesso: | Acesso Aberto |
Aparece nas coleções: | ISTAR-RI - Artigos em revistas científicas internacionais com arbitragem científica |
Ficheiros deste registo:
Ficheiro | Tamanho | Formato | |
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article_98861.pdf | 1,3 MB | Adobe PDF | Ver/Abrir |
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