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农业物联网数据安全指标体系构建与治理研究

孙雨潇 李峰 李斌 李艳丽 代峰 郝志强

农业大数据学报2026,Vol.8Issue(2):224-234,11.
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农业大数据学报2026,Vol.8Issue(2):224-234,11.DOI:10.19788/j.issn.2096-6369.000129

农业物联网数据安全指标体系构建与治理研究

Research on the Construction and Governance of Data Security Index System for Agricultural Internet of Things

孙雨潇 1李峰 1李斌 2李艳丽 1代峰 3郝志强1

作者信息

  • 1. 中国农业科学院农业环境与可持续发展研究所,北京 100081
  • 2. 北京市农林科学院林业果树研究所,北京 100093
  • 3. 中国科学院信息工程研究所,北京 100085
  • 折叠

摘要

Abstract

The challenges of agricultural IoT data security have intensified,restricting large-scale applications,and there is a lack of systematic guidance framework for improving security capabilities in the field,fragmented data security risks,and an incomplete research system.Based on this,this article aims to clarify the core direction of agricultural IoT data security governance and provide practical theoretical support and path references for industrial practice.The research focuses on the three-layer architecture of the agricultural Internet of Things and establishes a complete research system through the integration of multiple methods.Firstly,using the literature review method,systematically review the technical architecture,application scenarios,and existing security standards of the agricultural Internet of Things;Secondly,by combining the functional characteristics of each layer architecture and using the multidimensional risk decomposition method,the system identifies the security risk dimensions of the entire lifecycle of data;Finally,a quantitative evaluation system was constructed using the Delphi method.The research path of"risk identification system construction protection design"is formed as a whole,and ultimately five dimensions of data security risks,a quantitative evaluation system,and a four-dimensional collaborative protection system are extracted.This study fills the gap in the field of agricultural Internet of Things with a focus on qualitative and lightweight,architecture and governance.The five major data security risk dimensions proposed provide a clear framework for risk identification.The quantitative evaluation system,which includes five primary indicators and 20 secondary indicators,as well as the"technology management standards talent"collaborative protection system,can directly provide guidance for data security assessment and protection practices.However,the research has certain limitations,such as a narrow pilot scope for the evaluation system.Future research will focus on expanding pilot studies on evaluation systems and exploring intelligent protection models for agricultural IoT data security that integrate with artificial intelligence.

关键词

农业物联网/数据安全/三层架构/安全威胁/指标体系

Key words

agricultural internet of things/data security/three layer architecture/security threat/indicator system

引用本文复制引用

孙雨潇,李峰,李斌,李艳丽,代峰,郝志强..农业物联网数据安全指标体系构建与治理研究[J].农业大数据学报,2026,8(2):224-234,11.

基金项目

中国农业科学院基本科研业务费专项"顺义农业环境试验基地开放共享任务——华北典型农业绿色低碳应用模式构建与示范"(Y2025PT06). (Y2025PT06)

农业大数据学报

2096-6369

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