PhishNot: A Cloud-Based Machine-Learning Approach to Phishing URL Detection-Reference-Cited by-同舟云学术

PhishNot: A Cloud-Based Machine-Learning Approach to Phishing URL Detection

Published:2022-12 Issue: Volume:218 Page:109407
ISSN:1389-1286
Container-title:Computer Networks
language:en
Short-container-title:Computer Networks

Author:

Alani Mohammed M.^ORCID,Tawfik Hissam

Publisher

Elsevier BV

Subject

Computer Networks and Communications

Reference33 articles.

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

2. Going spear phishing: Exploring embedded training and awareness;Caputo;IEEE Secur. Priv.,2013

3. Time to report phishing email 2020 — statista;Statista,2021

4. Key findings from the 2022 verizon data breach investigations report (DBIR) underscore the role of the human element in data breaches — proofpoint US,2022

5. Technical aspects of cyber kill chain;Yadav,2015

Cited by 16 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. Phishing URL detection generalisation using Unsupervised Domain Adaptation;Computer Networks;2024-05

2. Anti-phishing: A comprehensive perspective;Expert Systems with Applications;2024-03

3. PhishHunter: Detecting camouflaged IDN-based phishing attacks via Siamese neural network;Computers & Security;2024-03

4. A Multi-vocal Literature Review on challenges and critical success factors of phishing education, training and awareness;Journal of Systems and Software;2024-02

5. Detection of phishing addresses and pages with a data set balancing approach by generative adversarial network (GAN) and convolutional neural network (CNN) optimized with swarm intelligence;Concurrency and Computation: Practice and Experience;2024-01-29