大数据在反恐情报工作中的应用研究

Application of Big Data in Counter-terrorism Intelligence

大数据在反恐情报中具有重要的地位与作用。利用定性分析方法,对大数据在反恐情报中的应用进行了研究。从数据源、疫情发布、情报综合分析能力三个方面论证了大数据在反恐情报的作用。提出了应用大数据对恐怖分子的作案行动进行追踪,预测与监测恐怖组织的活动、可视化分析等方面的内容。通过研究,为大数据在反恐情报中的应用理清思路,以期对反恐情报的建设提供一定的理论支撑,维护我国的国家安全与社会稳定,为预防与打击恐怖主义活动提供一定的理论与实践指导。

Big Data has an important position and role in counter-terrorism intelligence. In this paper, we use qualitative methods to ana-lyze big data applications in counter-terrorism intelligence. The analysis goes around with three aspects of the data source, the epidemic information release and the comprehensive analysis ability of intelligence, and discovers the role that big data plays in counter-terrorism in-telligence. We present applications of big data in tracking the perpetrating activities of terrorists, forecasting and monitoring the activities of terrorist organizations, and visualization analysis and as on. This research can help clarify ideas concerning the big data applications in counter-terrorism intelligence, provide theoretical support for the anti-terrorism intelligence development, and guide the activities of safe-guarding national security and social stability.