DEVELOPING AND ENHANCING ALGORITHMS FOR SECURE AND EFFICIENT DATA TRANSFER IN NINGXIA, CHINA’S NETWORK ENVIRONMENT.

Authors

  • Yang Ziyi Lincoln University College, Petaling Jaya, Malaysia.
  • Divya Midhunchakkaravarthy Lincoln University College, Petaling Jaya, Malaysia.

Keywords:

Ningxia Network Environment, Data Transmission, Security Resilience, Well-Designed Algorithms, Efficient Data Flow

Abstract

Safe and efficient data transport across China’s Ningxia area is the focus of this research. Ningxia is a distinctive geographical feature with a rapidly evolving digital ecosystem. In the pursuit of national goals, the region’s technological infrastructures are constantly evolving, bringing with them new obstacles such as uneven internet coverage, low bandwidth, and growing cybersecurity fears. To overcome these obstacles, the researcher needs a novel algorithmic architecture that can optimise data transmission methods while keeping them secure and intact. This research employs a comprehensive quantitative examination of several algorithms with the goal of enhancing data transmission safety and efficiency. Topics covered include adaptive routing protocols designed to overcome obstacles in the Ningxia network environment, error detection and repair methods, and sophisticated encryption techniques. This study evaluates the impact on data transmission, including latency, throughput, and security resilience, using statistical tools, such as ANOVA and regression analysis. Improved algorithms and reliable data transport are correlated, according to preliminary research. So far, it seems that creating a secure digital environment in Ningxia relies on well-designed algorithms. The fact that this study highlights the need of several stakeholders working together—including the government, businesses, and academic institutions—to promote ongoing advancements in algorithm development is also noteworthy. In summary Summing up, the report argues that Ningxia should be a driving force in China’s digital transformation and economic development by investing in sophisticated algorithmic frameworks that facilitate secure and efficient data flow.

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Published

2025-06-03