This paper analyzes network information risk incidents and, combining the characteristics of blockchain technology, studies its application value in network information risk prevention and control. It examines practical application cases of blockchain in identity authentication, data integrity assurance, financial security, and network communication security, including Estonia's e-Residency system, India's Aadhaar project, and the applications of Ripple and JPMorgan Chase in cross-border payments. Practical evidence proves that the decentralized and immutable characteristics of blockchain provide strong technical support for network information risk prevention and control, effectively reducing risks such as identity fraud, data tampering, financial fraud, and communication hijacking. However, blockchain still faces challenges in its application, including performance bottlenecks, insufficient privacy protection, and lagging legal and regulatory frameworks. It is suggested that blockchain should integrate with big data, artificial intelligence, the Internet of Things, and privacy protection technologies to enhance data processing capabilities, privacy protection, and intelligent security analysis. This integration will help improve risk data identification, risk event early warning, and post-event risk management, thereby building a comprehensive network information risk prevention and control system and further enhancing the effectiveness of network information risk prevention and control.

Performance is a crucial indicator for the blockchain system evaluation. However, it is difficult to measure and comprehensively evaluate the performance of blockchain systems, particularly due to their complexity and diversity. Based on the comprehensive analysis of common blockchain systems and existing performance testing tools, this paper proposes a novel efficient and user-friendly performance testing tool for blockchain systems named TrustedBench. This tool supports all-round analysis and testing, and provides a powerful tool for understanding and analyzing the performance of blockchain systems. The architecture design, test execution process and important performance indicators of blockchain systems are introduced, and their calculation methods are further expounded. Finally, the overall results from the implementation of TrustedBench are presented and interpreted, revealing the operation and performance characteristics of some different blockchain products. With this tool, users can have a more comprehensive understanding of the performance of blockchain systems. Furthermore, TrustedBench effectively enhances the efficiency of the blockchain platform in many real-world scenarios.

Blockchain assessment is a key method to evaluate the quality of blockchain products. Blockchain assessment can effectively address the problem of application systems breaking down due to poor quality of blockchain product. A comprehensive and in-depth assessment is important for enhancing the quality of blockchain products. Blockchain assessment can detect bugs and weaknesses in blockchain products, then it can promote the product upgrades and evolution. Recently, research on blockchain assessment is fragmented with lacking systematization. Therefore, this paper proposes a blockchain assessment framework from both technical and application perspectives. This assessment framework includes the blockchain systems assessment, supporting service systems assessment, and business application systems assessment. For each class of blockchain products, corresponding assessment dimensions and criteria are put forward.