IoT intrusion detection model based on gated recurrent unit and residual network-Reference-Cited by-同舟云学术

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IoT intrusion detection model based on gated recurrent unit and residual network

Published:2023-06-06 Issue:4 Volume:16 Page:1887-1899
ISSN:1936-6442
Container-title:Peer-to-Peer Networking and Applications
language:en
Short-container-title:Peer-to-Peer Netw. Appl.

Author:

Zhao Guosheng,Ren Cai,Wang Jian,Huang Yuyan,Chen Huan

Funder

the National Natural Science Foundation of China

Natural Science Foundation of heilongjiang Province

Harbin Science and Technology Innovation Research Funds

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Software

Link

https://link.springer.com/content/pdf/10.1007/s12083-023-01510-z.pdf

Reference20 articles.

1. Kolias C, Kambourakis G, Stavrou A, Voas J (2017) DDoS in the IoT: Mirai and other botnets. Computer 50(7):80–84

2. Li D, Deng L, Lee M, Wang H (2019) IoT data feature extraction and intrusion detection system for smart cities based on deep migration learning. Int J Inf Manage 49(10):533–545

3. Tian L, Lu Y (2021) An intrusion detection model based on SMOTE and convolutional neural network ensemble. In: Journal of Physics: Conference Series, IOP Publishing, pp 1–9

4. Li J, Zhu Q, Wu Q et al (2021) A novel oversampling technique for class-imbalanced learning based on SMOTE and natural neighbors. Inf Sci 565:438–455

5. Alshamy R, Ghurab M, Othman S et al (2021) Intrusion Detection Model for Imbalanced Dataset Using SMOTE and Random Forest Algorithm. In: International Conference on Advances in Cyber Security, Springer, pp 361–378

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1. Abnormal traffic detection for Internet of Things based on an improved Residual Network;Physical Communication;2024-10

2. A network intrusion detection system based on deep learning in the IoT;The Journal of Supercomputing;2024-07-13

3. Abnormal Traffic Detection for Internet of Things Based on an Improved Residual Network;Computers, Materials & Continua;2024

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