An Intelligent Digital Twin Method Based on Spatio-Temporal Feature Fusion for IoT Attack Behavior Identification-Reference-Cited by-同舟云学术

An Intelligent Digital Twin Method Based on Spatio-Temporal Feature Fusion for IoT Attack Behavior Identification

Author:

Wang Huan¹^ORCID,Di Xiaoqiang²^ORCID,Wang Yan¹^ORCID,Ren Bin³,Gao Ge⁴,Deng Junyi¹^ORCID

Affiliation:

1. School of Computer Science and Technology, Guangxi University of Science and Technology, Guangxi, Liuzhou, China

2. Jilin Provincial Key Laboratory of Network and Information Security, Changchun University of Science and Technology, Changchun, China

3. Changchun Institute of Technology, Changchun, China

4. School of Computer Science and Technology, Shandong University, Shandong, China

Funder

National Natural Science Foundation of China

Guangxi Natural Science Foundation

Guangxi Education Department Program

Doctoral Fund of Guangxi University of Science and Technology

Innovation Project of Guangxi Graduate Education

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

Reference42 articles.

4. IGRF-RFE: A hybrid feature selection method for MLP-based network intrusion detection on UNSW-NB15 dataset;yin;arXiv 2203 16365,2022

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