Stop-Phish: an intelligent phishing detection method using feature selection ensemble-Reference-Cited by-同舟云学术

Stop-Phish: an intelligent phishing detection method using feature selection ensemble

Published:2021-10-30 Issue:1 Volume:11 Page:
ISSN:1869-5450
Container-title:Social Network Analysis and Mining
language:en
Short-container-title:Soc. Netw. Anal. Min.

Author:

Ramana A. V.,Rao K. Lakshmana,Rao Routhu Srinivasa^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Human-Computer Interaction,Media Technology,Communication,Information Systems

Link

https://link.springer.com/content/pdf/10.1007/s13278-021-00829-w.pdf

Reference29 articles.

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3. Chiew KL, Tan CL, Wong K, Yong KS, Tiong WK (2019) A new hybrid ensemble feature selection framework for machine learning-based phishing detection system. Inf Sci 484:153–166

4. El-Alfy E-SM (2017) Detection of phishing websites based on probabilistic neural networks and k-medoids clustering. Comput J 60:1745–1759

5. Feng F, Zhou Q, Shen Z, Yang X, Han L, Wang J (2018) The application of a novel neural network in the detection of phishing websites. J Amb Intell Hum Comput1–15

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