Research on the Algorithm of Blockchain Technology in Enhancing the Transparency of Network Services and the Protection of User Privacy

This research builds an innovative blockchain-driven privacy assurance system that combines the sophisticated use of homologous encryption, Byzantine fault-tolerant algorithms, and distributed data partitioning strategies to improve the visibility of network services and the security of users’ sensitive information. By means of homomorphic encryption technology, the framework cleverly performs operations without decryption, ensuring that the confidentiality of user information is not violated. Byzantine fault tolerance enhances the robustness of the system and improves the robustness of the overall architecture, allowing the system to maintain basic operation even in the face of partial node failures or hostile acts. The application of distributed data partitioning technology has contributed to the horizontal scaling capability of the blockchain, further enhancing the processing speed and system efficiency. Experimental verification shows that compared with traditional architectures, the framework proposed in this paper shows overwhelming advantages in privacy protection, system throughput and security, especially in the management of a large number of concurrent requests, which strongly proves its outstanding characteristics in maintaining information privacy and optimizing system efficiency.

Authors

Institutions

Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1109/ssitcon62437.2024.10795919
Primary Topic
Medical Research and Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on the Algorithm of Blockchain Technology in Enhancing the Transparency of Network Services and the Protection of User Privacy

Tao Luo, Yongfan Chen
Medical Research and Treatments
article

Research on the Algorithm of Blockchain Technology in Enhancing the Transparency of Network Services and the Protection of User Privacy

Tao Luo, Yongfan Chen
article en

Abstract

This research builds an innovative blockchain-driven privacy assurance system that combines the sophisticated use of homologous encryption, Byzantine fault-tolerant algorithms, and distributed data partitioning strategies to improve the visibility of network services and the security of users’ sensitive information. By means of homomorphic encryption technology, the framework cleverly performs operations without decryption, ensuring that the confidentiality of user information is not violated. Byzantine fault tolerance enhances the robustness of the system and improves the robustness of the overall architecture, allowing the system to maintain basic operation even in the face of partial node failures or hostile acts. The application of distributed data partitioning technology has contributed to the horizontal scaling capability of the blockchain, further enhancing the processing speed and system efficiency. Experimental verification shows that compared with traditional architectures, the framework proposed in this paper shows overwhelming advantages in privacy protection, system throughput and security, especially in the management of a large number of concurrent requests, which strongly proves its outstanding characteristics in maintaining information privacy and optimizing system efficiency.

The University of Sydney (AU), Wuhan University of Science and Technology (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 56%
Medical Research and Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Research on the Algorithm of Blockchain Technology in Enhancing the Transparency of Network Services and the Protection of User Privacy — Tao Luo, Yongfan Chen · (2024) | TGRS Research Map | TGRS