A Reminiscent Intrusion Detection Model Based on Deep Autoencoders and Transfer Learning

Author:

dos Santos Roger R.1,Viegas Eduardo K.1,Santin Altair O.1

Affiliation:

1. Graduate Program in Computer Science (PPGIa), Pontifical Catholic University of Parana (Pontifícia Universidade Católica do Paraná),Brazil

Funder

CNPq

Publisher

IEEE

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. Toward a Reliable Network-Based Intrusion Detection Model for SCADA: A Classification with Reject Option Approach;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

2. Network-based Intrusion Detection Through Image-based CNN and Transfer Learning;2024 International Wireless Communications and Mobile Computing (IWCMC);2024-05-27

3. A Non-interactive One-Time Password-Based Method to Enhance the Vault Security;Lecture Notes on Data Engineering and Communications Technologies;2024

4. Deep transfer learning for intrusion detection in industrial control networks: A comprehensive review;Journal of Network and Computer Applications;2023-11

5. Applying Transfer Learning Approaches for Intrusion Detection in Software-Defined Networking;Sustainability;2023-06-11

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