Recent Research on Phishing Detection Through Machine Learning Algorithm-Reference-Cited by-同舟云学术

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Recent Research on Phishing Detection Through Machine Learning Algorithm

Published:2021 Issue: Volume: Page:495-508
ISSN:0302-9743
Container-title:Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices
language:
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Author:

Quang Do Nguyet,Selamat Ali,Krejcar Ondrej

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-79457-6_42

Reference41 articles.

1. von Solms, R., van Niekerk, J.: From information security to cyber security. Comput. Secur. 38, 97–102 (2013). https://doi.org/10.1016/j.cose.2013.04.004

2. Jang-Jaccard, J., Nepal, S.: A survey of emerging threats in cybersecurity. J. Comput. Syst. Sci. 80(5), 973–993 (2014). https://doi.org/10.1016/j.jcss.2014.02.005

3. Kitchenham, O.B., Brereton, P., Budgen, D., Turner, M., Bailey, J., Linkman, S.: Systematic literature reviews in software engineering – a systematic literature review. Inf. Softw. Technol. 51(1), 7–15 (2009). https://doi.org/10.1016/j.infsof.2008.09.009

4. Moher, D., Liberati, A., Tetzlaff, J., Altman, D.G., Group, T.P.: Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement PLOS Med. 6(7), e1000097 (2009). https://doi.org/10.1371/journal.pmed.1000097

5. Wohlin, C.: Guidelines for snowballing in systematic literature studies and a replication in software engineering. In: Proceedings of the 18th International Conference on Evaluation and Assessment in Software Engineering - EASE 2014, London, England, United Kingdom, pp. 1–10 (2014). https://doi.org/10.1145/2601248.2601268

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. Mobile Money Phishing Cybercrimes: Vulnerabilities, Taxonomies, Characterization from an Investigation in Cameroon;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2023

2. An Improved Ensemble Deep Learning Model Based on CNN for Malicious Website Detection;Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence;2022

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