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区块链智能合约安全性研究与测评验证技术

Research and evaluation verification technology for blockchain smart contract security

  • 摘要: 区块链技术的快速发展推动了智能合约的广泛应用,但其安全性问题也日益凸显,成为制约区块链技术发展的关键因素。如著名的The DAO事件就造成了大约6000万美元经济损失。为此,对智能合约的设计开发、编译部署、触发执行和维护管理等阶段的安全风险进行了详细分析,揭示了各阶段存在的漏洞和威胁。提出了一系列安全编程规范和最佳实践,包括设计模式、权限管理、输入验证等,以降低智能合约的安全风险。构建了一个综合性的智能合约安全测评框架,通过整合静态分析和动态分析技术,开发自动化检测工具,为智能合约的安全性提供了标准化的评估流程。通过对以太坊、波卡和币安智能链的实证研究,验证了测评框架的有效性,并提出了针对性地改进建议。通过展望智能合约安全测评的未来发展方向,包括智能化和自动化的测评技术、跨链测评能力、实时监测与预警系统、标准化与国际化认证以及社区参与的众包测评模式,旨在推动智能合约安全性的持续提升和优化。

     

    Abstract: The rapid development of blockchain technology has propelled the widespread application of smart contracts, but their security issues have also become increasingly prominent, emerging as a key factor that constrains the development of blockchain technology. For example, the well-known The DAO incident resulted in approximately 60 million in economic losses. This paper conducts a detailed analysis of the security risks at various stages of smart contracts, including design and development, compilation and deployment, execution, and maintenance management, revealing vulnerabilities and threats present in each stage. A series of secure programming standards and best practices are proposed, including design patterns, permission management, and input validation, to mitigate the security risks of smart contracts. A comprehensive smart contract security evaluation framework is constructed, integrating static and dynamic analysis techniques and developing automated detection tools to provide a standardized assessment process for smart contract security. Through empirical studies on Ethereum, Polkadot, and Binance Smart Chain, the effectiveness of the evaluation framework is verified, and targeted improvement suggestions are proposed. By looking ahead to the future development directions of smart contract security evaluation, including intelligent and automated evaluation technologies, cross-chain evaluation capabilities, real-time monitoring and early warning systems, standardization and international certification, as well as community-participatory crowdsourced evaluation models, this paper aims to drive the continuous improvement and optimization of smart contract security.

     

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