Intellivoting: Detection Method of Phishing Emails Based on Hybrid Features and Soft Voting Mechanism
Author:
Affiliation:
1. Wuhan Research Institute of Posts and Telecommunications, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3659211.3659327
Reference12 articles.
1. D. Warburton "Phishing attacks soar 220% during covid-19 peak as cybercriminal opportunism intensifies" 03 2022 [online] Available: https://www.f5.com/labs/articles/threat-intelligence/2022-phishing-and-fraud-report.
2. Employing machine learning techniques for detection and classification of phishing emails
3. Classification of phishing email using random forest machine learning technique [J];Akinyelu A A;Journal of Applied Mathematics,2014
4. Machine learning based phishing detection from URLs
5. Applying machine learning and natural language processing to detect phishing email
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