Associative Classification techniques for predicting e-banking phishing websites
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx5/5439159/5444741/05444840.pdf?arnumber=5444840
Cited by 8 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. A Robust Approach to E-Banking Phishing Detection using Ensemble Methods and LSTM;2024 International Conference on Cognitive Robotics and Intelligent Systems (ICC - ROBINS);2024-04-17
2. A new hybrid ensemble feature selection framework for machine learning-based phishing detection system;Information Sciences;2019-05
3. A Methodical Overview on Phishing Detection along with an Organized Way to Construct an Anti-Phishing Framework;2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS);2019-03
4. Transaction and Identity Authentication Security Model for E-Banking: Confluence of Quantum Cryptography and AI;Communications in Computer and Information Science;2019
5. Comparative Evaluation of Techniques for Detection of Phishing URLs;Communications in Computer and Information Science;2019
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