Detection of Phishing Websites Based on Probabilistic Neural Networks and K-Medoids Clustering-Reference-Cited by-同舟云学术

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Detection of Phishing Websites Based on Probabilistic Neural Networks and K-Medoids Clustering

Published:2017-04-18 Issue:12 Volume:60 Page:1745-1759
ISSN:0010-4620
Container-title:The Computer Journal
language:en
Short-container-title:

Author:

El-Alfy El-Sayed M

Publisher

Oxford University Press (OUP)

Subject

General Computer Science

Link

http://academic.oup.com/comjnl/article-pdf/60/12/1745/22297461/bxx035.pdf

Reference45 articles.

1. From information security to cyber security;Comput. Secur.,2013

2. Phishing detection: a literature survey;IEEE Commun. Surv. Tutor.,2013

3. Fighting against phishing attacks: state of the art and future challenges;Neural Comput. Appl.,2016

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2. AntiPhishStack: LSTM-Based Stacked Generalization Model for Optimized Phishing URL Detection;Symmetry;2024-02-17

3. A Framework for Preparing a Balanced and Comprehensive Phishing Dataset;IEEE Access;2024

4. SmartiPhish: a reinforcement learning-based intelligent anti-phishing solution to detect spoofed website attacks;International Journal of Information Security;2023-11-21

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