DTOF-ANN: An Artificial Neural Network phishing detection model based on Decision Tree and Optimal Features
Author:
Funder
University Natural Science Research Project of Anhui Province
Natural Science Foundation of Anhui Province
Publisher
Elsevier BV
Subject
Software
Reference39 articles.
1. A survey of phishing attacks: their types, vectors and technical approaches;Leng Chiew;Expert Syst. Appl.,2018
2. APWG, Phishing activity trends Report: 1st Quarter 2019. Accessed: 2019. [Online]: https://docs.apwg.org/reports/apwg_trends_report_q1_2019.pdf.
3. Phishing detection based associative classification data mining;Abdelhamid;Expert Syst. Appl.,2014
4. Why phishing still works: user strategies for combating phishing attacks;Alsharnouby;Int. J. Hum.-Comput. Stud.,2015
5. Phishing detection: A literature survey;Khonji;IEEE Commun. Surveys Tutor.,2013
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