Combining CNNs and Bi-LSTMs for Enhanced Network Intrusion Detection: A Deep Learning Approach-Reference-Cited by-同舟云学术

Combining CNNs and Bi-LSTMs for Enhanced Network Intrusion Detection: A Deep Learning Approach

Published:2023-09-13 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd International Conference on Computing and Information Technology (ICCIT)
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Author:

Praveen S Phani¹,Sindhura S²,Srinivasu Parvathaneni Naga¹,Ahmed Shakeel³

Affiliation:

1. Prasad V. Potluri Siddhartha Institute of Technology,Department of CSE,Vijayawada,India

2. NRI Institute of Technology,Department of CSE,Agiripalli,India

3. King Faisal University,CCSIT,Department of Computer Science,Al-Ahsa,Saudi Arabia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10273859/10273869/10273871.pdf?arnumber=10273871

Reference18 articles.

1. Intrusion Detection Based on CNN and BiLSTM in NSL-KDD dataset;zhang;Journal of Information Security,2022

2. Deep reinforcement learning- based intrusion detection in computer networks;zhang;Journal of Network and Computer Applications,2021

3. Intrusion Detection Method Based on LSTM and CNN for Industrial Control Systems;huang;Proceedings of the 3rd International Conference on Advances in Computer Technology Information Science and Communications,2020

4. A detailed analysis of the KDD CUP 99 data set

5. Application of CNN and LSTM models for intrusion detection in IoT systems;lin;Journal of Information Security and Applications,2020

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