Detection Model for URL Phishing with Comparison Between Shallow Machine Learning and Deep Learning Models-Reference-Cited by-同舟云学术

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Detection Model for URL Phishing with Comparison Between Shallow Machine Learning and Deep Learning Models

Published:2023 Issue: Volume: Page:146-156
ISSN:2731-7870
Container-title:Advances in Intelligent Systems Research
language:
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Author:

Zuhayr Nizam Aditya,Girinoto ,Qomariasih Nurul,Setiawan Hermawan

Publisher

Atlantis Press International BV

Reference21 articles.

1. N. A. Khan, “Ten Deadly Cyber Security Threats Amid COVID-19 Pandemic,” 2020, https://doi.org/10.36227/techrxiv.12278792.v1.

2. H. Abroshan, J. Devos, G. Poels, and E. Laermans, “COVID-19 and Phishing: Effects of Human Emotions, Behavior, and Demographics on the Success of Phishing Attempts during the Pandemic,” IEEE Access, vol. 9, pp. 121916–121929, 2021, https://doi.org/10.1109/ACCESS.2021.3109091.

3. APWG, “Phishing E-mail Reports and Phishing Site Trends,” 2022. [Online]. Available: http://www.apwg.org,

4. F. Mouton, M. M. Malan, L. Leenen, and H. S. Venter, “Social engineering attack framework,” in 2014 Information Security for South Africa - Proceedings of the ISSA 2014 Conference, Nov. 2014. https://doi.org/10.1109/ISSA.2014.6950510.

5. H. Abroshan, J. Devos, G. Poels, and E. Laermans, “Phishing attacks root causes,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2018, vol. 10694 LNCS, pp. 187–202. https://doi.org/10.1007/978-3-319-76687-4_13.

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Benchmarking Model URL Features and Image Based for Phishing URL Detection;2023 International Conference on Informatics, Multimedia, Cyber and Informations System (ICIMCIS);2023-11-07

2. Secure Mobile Application for Uniform Resource Locator (URL) Phising Detection based on Deep Learning;2023 1st International Conference on Advanced Engineering and Technologies (ICONNIC);2023-10-14

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