基于区块链技术的网络通信数据泄露自动检测系统设计
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Design of Data breach automatic detection system for network communication based on blockchain technology
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    摘要:

    网络安全环境不断变化,容易出现新的攻击技术和漏洞,而面对网络通信产生巨大的数据流量,会影响网络通信数据泄露自动检测的效果,故提出基于区块链技术的网络通信数据泄露自动检测系统设计研究。系统硬件部分基于区块链技术搭建网络通信数据存储结构,为网络通信提供更安全、可信和高效的数据存储方式,同时根据设计系统硬件需求设计网络通信数据流检测装置与污点分析器。系统软件部分利用污点分析法详细描述了网络通信数据泄露问题,获取并验证潜在污染流,以此为依据,结合设计系统硬件检测数据,制定网络通信数据泄露自动检测程序,实现网络通信数据泄露的自动检测。实验数据显示:设计系统的网络通信数据泄露检测准确性为95%,数据泄露检测时延最小值为7.20ms,充分证实了设计系统应用性能更佳。

    Abstract:

    The network security environment is constantly changing, which is prone to new attack technologies and vulnerabilities. However, the huge data traffic generated in the face of network communication will affect the effect of automatic detection of data breach in network communication. Therefore, the design and research of automatic detection system for data breach in network communication based on blockchain technology is proposed. The hardware part of the system is based on blockchain technology to build a network communication data storage structure, providing a more secure, reliable, and efficient data storage method for network communication. At the same time, a network communication data flow detection device and a stain analyzer are designed according to the hardware requirements of the design system. In the software part of the system, the stain analysis method is used to describe the data breach problem of network communication in detail, obtain and verify the potential pollution flow. Based on this, combined with the design of system hardware detection data, an automatic detection program for data breach of network communication is developed to realize the automatic detection of data breach of network communication. The experimental data shows that the accuracy of data breach detection of network communication of the designed system is 95%, and the minimum delay of data breach detection is 7.20ms, which fully proves that the application performance of the designed system is better.

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秦浩,薛伟,郭振,陈今.基于区块链技术的网络通信数据泄露自动检测系统设计计算机测量与控制[J].,2024,32(8):108-114.

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  • 收稿日期:2023-08-01
  • 最后修改日期:2023-09-05
  • 录用日期:2023-09-06
  • 在线发布日期: 2024-09-02
  • 出版日期: