As the importance of sports data in health management increases, traditional centralized storage faces security and privacy protection issues. Blockchain technology provides a new solution for the secure storage and sharing of sports data through its decentralized and tamper-proof characteristics. This paper constructs a distributed storage database system for sports data on the blockchain, which realizes the decentralized storage and sharing of data by storing sports data on the blockchain. The hash algorithm is used to store sports data to ensure the security and reliability of the data. The system uses smart contract technology to achieve multi-party secure computing and access control, ensuring that only users with access rights can access sports data. Experimental results show that the blockchain-based system is superior to traditional database systems in terms of storage efficiency (91% vs. 81%), data integrity (99.5% vs. 97.7%), and query response time (5.0ms vs. 9.9ms). The contribution of this paper is to provide an innovative solution for the secure storage and sharing of sports data, which can effectively protect the personal data privacy of athletes and support efficient data query and management.
With rising health awareness and widespread adoption of wearable devices, motion data (such as steps and heart rate) has become critical for health management and sports monitoring. However, centralized storage systems face challenges like single-point failures, data tampering risks, and privacy breaches. Blockchain technology offers a decentralized, tamper-resistant solution for distributed motion data storage, ensuring consistency through multi-node data distribution and consensus mechanisms. By leveraging smart contracts for access control and encryption for privacy protection, blockchain-based systems enable secure data sharing while maintaining reliability via synchronized updates and traceable history records, addressing key limitations of traditional architectures.
In professional team sports, collecting and analyzing athlete monitoring data is a common practice, aimed at assessing fatigue and subsequent adaptation reactions, examining performance potential, and minimizing the risk of injury and illness. The athlete monitoring system should be based on appropriate data analysis and interpretation to quickly report simple, scientific, and effective feedback. Due to the suddenness exhibited in scientific applications, distributed/parallel file systems often encounter issues of load imbalance and resource contention. Liao Jianwei proposed an adaptive scheme that supported dynamic block data replication and an effective replica placement strategy to improve the performance of distributed file systems. Sports is one of the most important aspects of daily life. With the rise of this field, it requires better prospects, infrastructure, and most importantly, management. Kumar Gaurav created a system that combined sports management and technology. Both schools and colleges had students who wished to perform in various sports events at the inter college, state, and national levels. However, these scholars lack some technical arguments for exploring motion data storage systems. Through research, it has been found that blockchain technology is more helpful for motion data storage systems. Relevant literature on blockchain technology has been referred.
With the rapid increase in the deployment of Internet of Things (IoT) devices, storing and protecting a large amount of IoT data has become a major issue. The traditional cloud based IoT architecture poses extremely high computing and storage requirements for cloud servers. Meanwhile, the strong dependence on centralized servers poses significant trust issues. To alleviate these issues, Li Ruinian proposed a distributed data storage scheme using blockchain and unverified passwords. This solution eliminated traditional centralized servers by utilizing blockchain miners who performed “transaction” verification and record auditing with the help of uncertified encryption. Encryption in blockchain refers to a technical method that makes it difficult for unauthorized resources to access encrypted data. Ghazal Taher M. proposed a blockchain based encryption framework to provide secure solutions using computational intelligence methods. However, these scholars have not conducted research on distributed storage database systems for motion data based on blockchain technology, only exploring them from a superficial perspective.
Although many studies in recent years have attempted to store motion data through traditional centralized database systems, these systems often face serious limitations. First, centralized systems are vulnerable to single point failures. Once there is a problem with the database server, the security and integrity of the data are threatened. Second, the centralized storage model cannot effectively solve the problem of data tampering. The immutability of data is crucial, especially in the recording and analysis of motion data.
This study constructs a distributed motion data storage database system based on blockchain technology, aiming to solve the limitations of traditional centralized database systems in data security, privacy protection, and high availability. Compared with existing centralized storage systems, blockchain technology provides a new and secure storage solution for motion data through the characteristics of decentralization, immutability, and encryption protection. In addition, the smart contract and multi-party secure computing mechanism proposed in this paper ensure data access control, further improving the security and reliability of the data storage system.
