Improved Detection of Cyber-Attacks Using a Bi-Directional RNN with LSTM Deep Learning Model-Reference-Cited by-同舟云学术

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Improved Detection of Cyber-Attacks Using a Bi-Directional RNN with LSTM Deep Learning Model

Published:2023-05-12 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)
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Author:

Tomar Parveen Kumar¹,Kumar K. Suresh²,Krishna Gopal³,K Soumya⁴,Ibrahim Read Khalid⁵,Alazzam Malik Bader⁶

Affiliation:

1. Kurukshetra University,Department of Electronics & Communication,Thanesar,Haryana,India,136119

2. Panimalar Engineering College,MBA Department,Chennai,Tamil Nadu,India,600123

3. Uttaranchal University,Uttaranchal Institute of Technology,Dehradun,Uttarakhand,India,24800

4. SR University,School of Computer Science and Artificial Intelligence,Warangal,Telangana,India,506371

5. Al-Farahidi University,Medical Technical College,Baghdad,Iraq,10021

6. Ajloun National University,Information Technology College,Ajloun,Jordan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10182388/10182370/10182492.pdf?arnumber=10182492

Reference20 articles.

1. Phishing URL Detection via CNN and Attention-Based Hierarchical RNN

2. Deep Learning for Cybersecurity: A Review

3. DoS Detection Method based on Artificial Neural Networks

4. Experimental Evaluation of a Multi-layer Feed-Forward Artificial Neural Network Classifier for Network Intrusion Detection System

5. Predicting Cyber Attack Rates With Extreme Values

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