A machine learning approach for detecting fast flux phishing hostnames-Reference-Cited by-同舟云学术

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A machine learning approach for detecting fast flux phishing hostnames

Published:2022-03 Issue: Volume:65 Page:103125
ISSN:2214-2126
Container-title:Journal of Information Security and Applications
language:en
Short-container-title:Journal of Information Security and Applications

Author:

Nagunwa Thomas,Kearney Paul^ORCID,Fouad Shereen

Funder

Commonwealth Scholarship Commission

Birmingham City University

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality,Software

Reference72 articles.

1. Fast-flux hunter: a system for filtering online fast-flux botnet;Almomani;Neural Comput Appl,2018

2. Know your Enemy: fast-flux service networks;Salusky;The Honeynet Project,2008

3. O. Katz, Perets,R., Matzliach, G., "Digging Deeper – An In-Depth Analysis of a Fast Flux Network " 2017.

4. Behavioral analysis of botnets for threat intelligence;Caglayan;Inf Syst E-bus Manag,2012

5. A Framework of New Hybrid Features for Intelligent Detection of Zero Hour Phishing Websites;Nagunwa,2019

Cited by 3 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. PhiUSIIL: A diverse security profile empowered phishing URL detection framework based on similarity index and incremental learning;Computers & Security;2024-01

2. A Machine Learning Model for Predicting Phishing Websites;2023-11-09

3. Combating Alert Fatigue in the Security Operations Centre;SSRN Electronic Journal;2023

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