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数据融合驱动的国家安全场景式情报服务模式研究

  • 贾若男
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  • (湘潭大学公共管理学院湖南411105)
贾若男,女,1995年生,湘潭大学公共管理学院讲师。

网络出版日期: 2025-07-15

Research on the Scenario-Based National Security Intelligence Service Model Driven by Data Fusion

  • Jia Ruonan
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  • (School of Public Administration, Xiangtan University, Hunan,411105)

Online published: 2025-07-15

摘要

[目的/意义]智能时代情报服务决策功能在国家安全的地位愈加重要,开展国家安全情报服务研究在国家战略层面和情报学研究领域都具有重要意义。[方法/过程]文章以场景为抓手,架构数据融合驱动的国家安全场景式情报服务模式,利用安全数据感知需求侧安全情报服务场景,并以此为牵引构建供给侧安全情报服务资源,基于供需匹配生成服务方案,实现场景式情报服务响应。[结果/结论]通过构建数据融合驱动的国家安全场景式情报服务模式理论架构,在宏观层面响应国家安全战略的客观要求,在微观层面提供国家安全场景式情报服务融合创新路径。

本文引用格式

贾若男 . 数据融合驱动的国家安全场景式情报服务模式研究[J]. 情报资料工作, 2025 , 46(4) : 45 -51 . DOI: 10.12154/j.qbzlgz.2025.04.005

Abstract

[Purpose/significance] In the era of intelligence, the decision-making function of intelligence services is becoming more and more important in national security, and the research on national security intelligence services is of great significance at the national strategic level and in the field of information science research. [Method/process]This study proposes a national security scenario-based intelligence service model centered on scenarios. This study aims to utilize security data to perceive the demand-side scenarios for intelligence services, which in turn guide the construction of supply-side resources for intelligence services. Based on the matching of supply and demand, service solutions are generated to achieve scenario-based intelligence service responses. [Result/conclusion] By establishing a theoretical framework for a data fusion-driven national security scenario-based intelligence service model, we aim to
respond to the objective requirements of the national security strategy at the macro level, while providing innovative in⁃tegration paths for national security scenario-based intelligence services at the micro level.
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