摘要
[目的/意义]通过对海量物流、人流、资金流、商务流、信息流等多种数据流进行量化分析处理,挖掘涉恐线索,在此基础上建立反恐预警机制和情报决策体系是预防和打击恐怖主义的有效手段。[方法/过程]首先基于多种数据流挖掘涉恐信息的规律,然后在此基础上提取涉恐风险特征,建立积分预警评分机制,构建反恐情报决策体系。[结果/结论]该研究立足于服务反恐实战工作,综合考虑各种决策因素,建立数据挖掘、风险分析、积分预警、情报决策层层递进的体系,强化了涉恐数据的量化分析结果在反恐情报决策中的作用。
[Purpose/Significance]It is an effective measure to build counter terrorism early warning mechanism and intelligence decision-making system based on mining multiple data streams of people,logistics,fund flow,information and business flow and making quantitative analysis.[Method/Process]The first step is extracting terror-related characteristics after identifying the rules of multiple data streams.Then,an early warning system of cumulative rating score is built upon considering terrorist individuals,terrorist organizations and critical infrastructures.At last,the counter terrorism intelligence decision-making system is established based on the previous works.[Result/Conclusion]The research has the mission and vision of serving actual work of counter terrorism.The decision-making system of counter terrorism intelligence could reinforce the effect of quantitative analysis according to various factors.
作者
李勇男
Li Yongnan(School of Criminal Investigation and Counter Terrorism,People's Public Security University of China,Beijing 100038)
出处
《情报杂志》
CSSCI
北大核心
2018年第10期57-61,共5页
Journal of Intelligence
基金
2018年度北京市社会科学基金项目"大数据驱动的首都反恐情报决策机制研究"(编号:18GLC062)
教育部人文社会科学研究青年基金项目"基于数据挖掘的涉恐情报量化分析方法研究"(编号:17YJCZH098)
中国人民公安大学基本科研业务费项目"反恐情报分析中的空间位置数据挖掘方法研究"(编号:2018JKF323)的研究成果之一
关键词
反恐情报
数据挖掘
风险评估
预警机制
情报决策
数据流
counter terrorism intelligence
data mining
risk evaluation
early warning system
intelligence decision-making
data stream
