Detection of Web-Attack using DistilBERT, RNN, and LSTM
Author:
Affiliation:
1. Sam Houston State University,Dept. of Computer Science,Huntsville,Texas
2. Georgia Southern University,Dept. of Info Technology,Statesboro,Georgia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10131120/10131673/10131822.pdf?arnumber=10131822
Reference20 articles.
1. An introduction to recurrent neural networks and the math that powers them;saeed;Machine Learning Mastery,2022
2. Detection of Distributed Denial of Service (DDoS) Attacks in IOT Based Monitoring System of Banking Sector Using Machine Learning Models
3. A gentle introduction to long short-term memory networks by the experts;brownlee,2017
Cited by 2 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. BERT-Based Sentiment Forensics Analysis for Intrusion Detection;2023 International Conference on Machine Learning and Applications (ICMLA);2023-12-15
2. Hybrid Deep Learning Model for Automatic Intrusion Detection System;2023 International Conference on Data Science and Network Security (ICDSNS);2023-07-28
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