Learning to Transfer Knowledge Between Datasets to Enhance Intrusion Detection Systems-Reference-Cited by-同舟云学术

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Learning to Transfer Knowledge Between Datasets to Enhance Intrusion Detection Systems

Published:2023 Issue: Volume: Page:39-46
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
Short-container-title:

Author:

Dang Quang-Vinh^ORCID

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-7346-8_4

Reference17 articles.

1. Alavizadeh H, Jang-Jaccard J, Alavizadeh H (2021) Deep q-learning based reinforcement learning approach for network intrusion detection. arXiv preprint arXiv:2111.13978

2. Dang QV (2019) Studying machine learning techniques for intrusion detection systems. In: FDSE. Lecture notes in computer science, vol 11814. Springer, pp 411–426

3. Dang QV (2020) Active learning for intrusion detection systems. In: IEEE RIVF

4. Dang QV (2020) Understanding the decision of machine learning based intrusion detection systems. In: FDSE. Lecture notes in computer science, vol 12466. Springer, pp 379–396

5. Dang QV (2021) Improving the performance of the intrusion detection systems by the machine learning explain ability. Int J Web Inf Syst

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. Parallel Optimization Technique to Improve the Performance of Lightweight Intrusion Detection Systems;IoT Based Control Networks and Intelligent Systems;2023-11-28

2. Using Transformer Technique for Intrusion Detection;Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications;2023

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