Link Prediction in Knowledge Graphs for Graph Convolutional Networks

In the cloud computing environment, the application of data encryption technology is of great significance to the improvement of network information security. This paper discusses the key challenges and solutions of data encryption technology in cloud computing, focusing on the application of symmetric and asymmetric encryption technologies and their effects. Comparative experimental analyses show that symmetric encryption has a processing speed of about 10,000 encryption operations per second and low resource consumption, while asymmetric encryption has a processing speed of about 500 encryption operations per second but excels in security and key management. The experimental results show that the combined use of symmetric and asymmetric encryption can achieve more efficient and secure data protection in cloud computing environments. Ultimately, this paper suggests future research directions to further enhance data security in cloud computing environments.

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Publication Details

Published
2024-08-23
DOI
https://doi.org/10.1109/iacis61494.2024.10721627
Citations
2
Primary Topic
Advanced Graph Neural Networks
Type
article
Field-Weighted Citation Impact
0.69
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article

Link Prediction in Knowledge Graphs for Graph Convolutional Networks

Jinxian Zhang, X. H. Xie
2 citations
Advanced Graph Neural Networks
0.69
article

Link Prediction in Knowledge Graphs for Graph Convolutional Networks

Jinxian Zhang, X. H. Xie
article en
2 citations

Abstract

In the cloud computing environment, the application of data encryption technology is of great significance to the improvement of network information security. This paper discusses the key challenges and solutions of data encryption technology in cloud computing, focusing on the application of symmetric and asymmetric encryption technologies and their effects. Comparative experimental analyses show that symmetric encryption has a processing speed of about 10,000 encryption operations per second and low resource consumption, while asymmetric encryption has a processing speed of about 500 encryption operations per second but excels in security and key management. The experimental results show that the combined use of symmetric and asymmetric encryption can achieve more efficient and secure data protection in cloud computing environments. Ultimately, this paper suggests future research directions to further enhance data security in cloud computing environments.

Guangzhou College of Commerce
Openalex Percentile: Top 24%
Advanced Graph Neural Networks
0.69
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Link Prediction in Knowledge Graphs for Graph Convolutional Networks — Jinxian Zhang, X. H. Xie · (2024) | TGRS Research Map | TGRS