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基于自定义加密算法的气象数据传输协议研究

孙海燕 李小汝 张昊 刘然

微型电脑应用2026,Vol.42Issue(7):1-6,6.
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微型电脑应用2026,Vol.42Issue(7):1-6,6.

基于自定义加密算法的气象数据传输协议研究

Research on Meteorological Data Transmission Protocol Based on Custom Encryption Algorithm

孙海燕 1李小汝 1张昊 1刘然1

作者信息

  • 1. 国家气象信息中心,北京 100081
  • 折叠

摘要

Abstract

The custom-encrypted meteorological data protocol aims to address security and efficiency issues in the transmission of meteorological data.Taken into account the characteristics and transmission requirements of meteorological data,a set of custom-encrypted data protocol is designed based on traditional data encryption algorithms.The proposed protocol supports va-rious data compression algorithms and employs custom encryption algorithms,effectively reducing data transmission delay and overhead.Additionally,it is compatible with multiple meteorological data formats,including MET AR and BUFR,demonstra-ting excellent scalability and adaptability.Through rational field design and length allocation,combined with mechanisms for data integrity preservation and packet loss retransmission,the protocol ensures lightweight operation while meeting the real-time,reliability and interoperability requirements of meteorological data transmission.In terms of security,the proposed proto-col undergoes rigorous penetration testing and security audits,effectively resisting common network threats such as man-in-the-middle and replay attacks.The custom-encrypted meteorological data transmission protocol provides a unified and feasible solu-tion for the secure transmission of meteorological data,and is expected to find extensive application in areas such as disaster weather forecast reviews and the promotion of shared meteorological services.

关键词

气象数据特点/数据传输协议/加密算法/分包机制

Key words

characteristics of meteorological data/data transmission protocol/encryption algorithm/packet segmentation mech-anism

分类

信息技术与安全科学

引用本文复制引用

孙海燕,李小汝,张昊,刘然..基于自定义加密算法的气象数据传输协议研究[J].微型电脑应用,2026,42(7):1-6,6.

基金项目

中国气象局创新发展专项(CXFZ2024J082) (CXFZ2024J082)

微型电脑应用

1007-757X

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