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第四届信息资源管理期刊发展论坛投稿--数据融合驱动的国家安全场景式情报服务模式研究

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

摘要: [目的/意义] 面对新时期的国家战略需求,国家安全成为发展的重中之重。国家高度重视安全与发展背景下的情报学研究,情报服务决策功能在国家安全的地位愈加重要。[方法/过程] 本文以数据融合为驱动、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。通过数据融合驱动,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,并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。

Abstract: [Purpose/Significance] In response to the national strategic needs of the new era, national security has emerged as a top priority for development. The country places great importance on the study of information science within the context of security and development, and the decision-making function of intelligence services has become increasingly significant in ensuring national security. [Method/Process] This study proposes a national security scenario-based intelligence service model driven by data fusion and centered on scenarios. By leveraging data fusion as the driving force, 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. [Results/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 integration paths for national security scenario-based intelligence services at the micro level.

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[V1] 2024-09-24 15:26:24 PSSXiv:202409.02032V1 下载全文
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