A New English/Arabic Parallel Corpus for Phishing Emails
Phishing involves malicious activity whereby phishers, in the disguise of legitimate entities, obtain illegit imate access to the victims’ personal and private information, usually through emails. Currently, phishing attacks and threats are being handled effectively through the use of the latest phi...
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , , |
| منشور في: |
2023
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://bspace.buid.ac.ae/handle/1234/2794 https://doi.org/10.1145/3606031. |
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| _version_ | 1862980613891424256 |
|---|---|
| author | SALLOUM, SAID |
| author2 | GABER, TAREK VADERA, SUNIL SHAALAN, KHALED |
| author2_role | author author author |
| author_facet | SALLOUM, SAID GABER, TAREK VADERA, SUNIL SHAALAN, KHALED |
| author_role | author |
| dc.creator.none.fl_str_mv | SALLOUM, SAID GABER, TAREK VADERA, SUNIL SHAALAN, KHALED |
| dc.date.none.fl_str_mv | 2023 2025-02-11T04:46:49Z 2025-02-11T04:46:49Z |
| dc.identifier.none.fl_str_mv | Salloum, S. et al. (2023) “A New English/Arabic Parallel Corpus for Phishing Emails,” ACM Transactions on Asian and Low-Resource Language Information Processing, 22(7), pp. 1–17. 2375-4699, 2375-4702 https://bspace.buid.ac.ae/handle/1234/2794 https://doi.org/10.1145/3606031. |
| dc.language.none.fl_str_mv | en |
| dc.publisher.none.fl_str_mv | ACM digital library |
| dc.relation.none.fl_str_mv | ACM Transactions on Asian and Low-Resource Language Information Processingv22 n7 (20230725): 1-17 |
| dc.subject.none.fl_str_mv | CCS Concepts: • Computing methodologies → Language resources; Additional Key Words and Phrases: English–Arabic Parallel Corpus, phishing emails, Multilayer Perceptron, frequency–inverse document frequency |
| dc.title.none.fl_str_mv | A New English/Arabic Parallel Corpus for Phishing Emails |
| dc.type.none.fl_str_mv | Article |
| description | Phishing involves malicious activity whereby phishers, in the disguise of legitimate entities, obtain illegit imate access to the victims’ personal and private information, usually through emails. Currently, phishing attacks and threats are being handled effectively through the use of the latest phishing email detection so lutions. Most current phishing detection systems assume phishing attacks to be in English, though attacks in other languages are growing. In particular, Arabic is a widely used language and therefore represents a vulnerable target. However, there is a significant shortage of corpora that can be used to develop Arabic phishing detection systems. This article presents the development of a new English-Arabic parallel phishing email corpusthat has been developed from the anti-phishing share task text (IWSPA-AP 2018). The email con tent was to be translated, and the task had been allotted to 10 volunteers who had a university background and were English and Arabic language experts. To evaluate the effectiveness of the new corpus, we develop phishing email detection models using Term Frequency–Inverse Document Frequency and Multilayer Per ceptron using 1,258 emails in Arabic and English that have equal ratios of legitimate and phishing emails. The experimental findings show that the accuracy reaches 96.82% for the Arabic dataset and 94.63% for the emails in English, providing some assurance of the potential value of the parallel corpus developed. |
| id | budr_e92a3fe3fbd84aa2bc1081e06cc09144 |
| identifier_str_mv | Salloum, S. et al. (2023) “A New English/Arabic Parallel Corpus for Phishing Emails,” ACM Transactions on Asian and Low-Resource Language Information Processing, 22(7), pp. 1–17. 2375-4699, 2375-4702 |
| language_invalid_str_mv | en |
| network_acronym_str | budr |
| network_name_str | The British University in Dubai repository |
| oai_identifier_str | oai:bspace.buid.ac.ae:1234/2794 |
| publishDate | 2023 |
| publisher.none.fl_str_mv | ACM digital library |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | A New English/Arabic Parallel Corpus for Phishing EmailsSALLOUM, SAIDGABER, TAREKVADERA, SUNILSHAALAN, KHALEDCCS Concepts: • Computing methodologies → Language resources; Additional Key Words and Phrases: English–Arabic Parallel Corpus, phishing emails, Multilayer Perceptron, frequency–inverse document frequencyPhishing involves malicious activity whereby phishers, in the disguise of legitimate entities, obtain illegit imate access to the victims’ personal and private information, usually through emails. Currently, phishing attacks and threats are being handled effectively through the use of the latest phishing email detection so lutions. Most current phishing detection systems assume phishing attacks to be in English, though attacks in other languages are growing. In particular, Arabic is a widely used language and therefore represents a vulnerable target. However, there is a significant shortage of corpora that can be used to develop Arabic phishing detection systems. This article presents the development of a new English-Arabic parallel phishing email corpusthat has been developed from the anti-phishing share task text (IWSPA-AP 2018). The email con tent was to be translated, and the task had been allotted to 10 volunteers who had a university background and were English and Arabic language experts. To evaluate the effectiveness of the new corpus, we develop phishing email detection models using Term Frequency–Inverse Document Frequency and Multilayer Per ceptron using 1,258 emails in Arabic and English that have equal ratios of legitimate and phishing emails. The experimental findings show that the accuracy reaches 96.82% for the Arabic dataset and 94.63% for the emails in English, providing some assurance of the potential value of the parallel corpus developed.ACM digital library2025-02-11T04:46:49Z2025-02-11T04:46:49Z2023ArticleSalloum, S. et al. (2023) “A New English/Arabic Parallel Corpus for Phishing Emails,” ACM Transactions on Asian and Low-Resource Language Information Processing, 22(7), pp. 1–17.2375-4699, 2375-4702https://bspace.buid.ac.ae/handle/1234/2794https://doi.org/10.1145/3606031.enACM Transactions on Asian and Low-Resource Language Information Processingv22 n7 (20230725): 1-17oai:bspace.buid.ac.ae:1234/27942026-01-29T17:13:49Z |
| spellingShingle | A New English/Arabic Parallel Corpus for Phishing Emails SALLOUM, SAID CCS Concepts: • Computing methodologies → Language resources; Additional Key Words and Phrases: English–Arabic Parallel Corpus, phishing emails, Multilayer Perceptron, frequency–inverse document frequency |
| title | A New English/Arabic Parallel Corpus for Phishing Emails |
| title_full | A New English/Arabic Parallel Corpus for Phishing Emails |
| title_fullStr | A New English/Arabic Parallel Corpus for Phishing Emails |
| title_full_unstemmed | A New English/Arabic Parallel Corpus for Phishing Emails |
| title_short | A New English/Arabic Parallel Corpus for Phishing Emails |
| title_sort | A New English/Arabic Parallel Corpus for Phishing Emails |
| topic | CCS Concepts: • Computing methodologies → Language resources; Additional Key Words and Phrases: English–Arabic Parallel Corpus, phishing emails, Multilayer Perceptron, frequency–inverse document frequency |
| url | https://bspace.buid.ac.ae/handle/1234/2794 https://doi.org/10.1145/3606031. |