An approach for profiling phishing activities-Reference-Cited by-同舟云学术

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An approach for profiling phishing activities

Published:2014-09 Issue: Volume:45 Page:27-41
ISSN:0167-4048
Container-title:Computers & Security
language:en
Short-container-title:Computers & Security

Author:

Hamid Isredza Rahmi A.,Abawajy Jemal H.

Publisher

Elsevier BV

Subject

Law,General Computer Science

Reference29 articles.

1. A multi-tier ensemble construction of classifiers for phishing email detection and filtering;Abawajy,2012

2. Anti-Phishing Working Group. Phishing attack trends report, [Online]. Available http://www.antiphishing.org/resources/apwg-reports/.

3. SPSS Two-Step cluster: a first evaluation;Bacher,2004

4. Modified global k-means algorithm for minimum sum-of-squares clustering problems;Bagirov;Pattern Recognit,2008

5. Classifying phishing emails using confidence-weighted linear classifiers;Basnet,2010

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1. Using Clustering Algorithms to Automatically Identify Phishing Campaigns;IEEE Access;2023

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3. Data mining approach to model bus crash severity in Australia;Journal of Safety Research;2021-02

4. Know Your Enemy: User Segmentation Based on Human Aspects of Information Security;IEEE Access;2021

5. A real world study on employees' susceptibility to phishing attacks;Proceedings of the 15th International Conference on Availability, Reliability and Security;2020-08-25

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