摘要
搜集和利用开源情报过程中,由于大数据环境下的开源情报存在虚假信息泛滥等问题,因此决策者难以根据搜集的开源情报做出科学论断。为充分挖掘开源情报价值,并对情报的真假进行甄别,需在开源情报分析处理前进行情报可信评估。研究了开源情报可信分析,设计了开源情报可信分析系统的流程与总体框架,总结了开源情报可信分析的关键模型与技术,从而为开源情报可信分析提供参考。
In the process of collecting and utilizing open source intelligence,it is difficult for decision-makers to make scientific conclustions based on the collected open source information due to the proliferation of false information in the big data environment.In order to fully exploit the value of open source intelligence,and to screen the truth and falsehood of intelligence,it is necessary to conduct credibility evaluation before the open source intelligence analysis and processing.The credibility analysis of open source intelligence is studied,the workflow and overall framework of open source intelligence credibility analysis system are designed,the key models and technologies of open source intelligence are summarized.Thus they can provide reference for the open source intelligence analysis.
作者
颜克冬
徐琳
宫小泽
王永利
YAN Kedong;XU Lin;GONG Xiaoze;WANG Yongli(School of Computer Science and Engineering,Nanjing University of Science and Technology,Nanjing 210094,China;Science and Technology on Information Systems Engineering Laboratory,Nanjing 210023,China;Unit 63863 of PLA,Baicheng 137001,Jilin,China)
出处
《指挥信息系统与技术》
2023年第1期57-61,80,共6页
Command Information System and Technology
基金
信息系统工程重点实验室开放基金(05202104)资助项目。
关键词
开源情报
情报采集
可信分析
open source intelligence
intelligence gathering
credibility analysis
