Botnet Spam E-Mail Detection Using Deep Recurrent Neural Network
Author:
Publisher
The World Academy of Research in Science and Engineering
Subject
General Engineering
Cited by 14 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. Diverse ensemble classifier driven Email spam classification using multiple word embedding’s with COCOB optimizer;Journal of Intelligent & Fuzzy Systems;2024-01-10
2. Hybrid Machine Learning Model for Efficient Botnet Attack Detection in IoT Environment;IEEE Access;2024
3. A Systematic Review on Deep-Learning-Based Phishing Email Detection;Electronics;2023-11-05
4. Comparative Analysis of Deep Learning, SVM, Random Forest, and XGBoost for Email Spam Detection: A Socio- Network Analysis Approach;2023 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS);2023-11-03
5. GRUSpam: robust e-mail spam detection using gated recurrent unit (GRU) algorithm;International Journal of Information Technology;2023-09-29
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