Phishing Email Detection Using Bi-GRU-CNN Model-Reference-Cited by-同舟云学术

Phishing Email Detection Using Bi-GRU-CNN Model

Published:2022 Issue: Volume: Page:71-77
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
language:
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Author:

Remmide Mohamed Abdelkarim,Boumahdi Fatima,Boustia Narhimene

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-95918-0_8

Reference25 articles.

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2. Verizon. 2021 Data Breach Investigations Report 1st Quarter 2021 (2021). https://enterprise.verizon.com/resources/reports/2021-dbir-executive-brief.pdf. Accessed 12 Aug 2021

3. Anti-Phishing Working Group. Phishing Activity Trends Report 1st Quarter 2021 (2021). https://docs.apwg.org/reports/apwg_trends_report_q1_2021.pdf. Accessed 12 Aug 2021

4. Sahoo, D., Liu, C., Hoi, S.C.: Malicious URL detection using machine learning: a survey. arXiv preprint arXiv:1701.07179 (2017)

5. Ding, Y., Luktarhan, N., Li, K., Slamu, W.: A keyword-based combination approach for detecting phishing webpages. Comput. Secur. 84, 256–275 (2019)

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