Email Anti-Phishing Detection Application
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8897708/8906294/08906316.pdf?arnumber=8906316
Cited by 9 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. PhishGuard: A Convolutional Neural Network-Based Model for Detecting Phishing URLs with Explainability Analysis;2024 3rd International Conference on Artificial Intelligence For Internet of Things (AIIoT);2024-05-03
2. Mitigating Email Phishing: Analytical Framework, Simulation Models, and Preventive Measures;2024 10th International Conference on Communication and Signal Processing (ICCSP);2024-04-12
3. Cybersecurity Threats in the Era of AI: Detection of Phishing Domains Through Classification Rules;2023 2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI);2023-12-27
4. A Deep Learning-Based Innovative Technique for Phishing Detection in Modern Security with Uniform Resource Locators;Sensors;2023-04-30
5. A Review of Different Content-Based Phishing Email Detection Methods;2023 9th International Engineering Conference on Sustainable Technology and Development (IEC);2023-02-21
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