Detecting Phishing Websites Using Machine Learning
Author:
Affiliation:
1. Computer Engineering Istanbul Kultur University,Istanbul,Turkey
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9799780/9799803/09799917.pdf?arnumber=9799917
Reference25 articles.
1. AI Meta-Learners and Extra-Trees Algorithm for the Detection of Phishing Websites
2. A Deep Learning-Based Framework for Phishing Website Detection
3. Phishing Website Detection Based on Multidimensional Features Driven by Deep Learning
4. Particle Swarm Optimization-Based Feature Weighting for Improving Intelligent Phishing Website Detection
5. Phishing-Aware: A Neuro-Fuzzy Approach for Anti-Phishing on Fog Networks
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1. An Explainable Feature Selection Framework for Web Phishing Detection with Machine Learning;Data Science and Management;2024-08
2. Enhancing Cybersecurity: A Comprehensive Analysis of Machine Learning Techniques in Detecting and Preventing Phishing Attacks with a Focus on Xgboost Algorithm;2024 International Conference on Intelligent Systems for Cybersecurity (ISCS);2024-05-03
3. Ensemble Based AI Detector for Cyber Crimes;2023 6th International Conference on Electronics Technology (ICET);2023-05-12
4. Detecting Phishing Websites using Machine Learning Algorithm;2023 7th International Conference on Computing Methodologies and Communication (ICCMC);2023-02-23
5. Feature extraction based ensemble stacking for combating cyber threat in phishing URLs;2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT);2023-01-05
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