网络恐怖事件预警指标体系研究  

Early Warning Index System of Online Terrorism Event

作　　者：黄炜[1,2] 黄建桥 李岳峰[1] 

机构地区：[1]湖北工业大学经济与管理学院,武汉430064 [2]武汉理工大学管理学院,武汉430072

出　　处：《情报杂志》2017年第4期41-46,共6页Journal of Intelligence

基　　金：国家自然科学基金项目"微博环境下实时主动感知网络舆情事件的多核方法研究"(编号:71303075)和"大数据环境下基于特征本体学习的无监督文本分类方法研究"(编号:71571064)的研究成果之一

摘　　要：[目的/意义]研究当前网络恐怖事件发展动向及特点,从事件热度、事件产生因素、事件级别及影响力等七个方面入手,构建完善的网络恐怖事件预警指标体系,并结合实例提出预警处置建议。[方法/过程]通过发布问卷、专家咨询的方式搜集调查数据,利用主客观相结合的方法精确分析网络恐怖事件的特征。[结果/结论]不同类型的网络恐怖事件在该文提出的七个方面表现出不同的特性,事件传播初期的网络热度和影响力是两个最重要的观测指标。网络恐怖事件与传统恐怖事件相比,在实施途径上的差异最为直观,该文提出的网络恐怖事件预警指标有利于网络安全机构及时发现并妥善解决问题。[ Purpose/Significance] This research studies the current development trends and characteristics of network attacks, starting with seven aspects such as the heat, event factors, event level and influence and so on, to build a perfect early warning index system, and combines with concrete examples to give suggestions on reasonable pre-waming countermeasure. [ Method/Process] Based on data col- lected via a combination of questionnaire survey and Delphi method, behavior characteristics of network terrorist attacks are analyzed pre- cisely using subjective and objective methods. [ Result/Conclusion] Different types of network attacks show different features in the seven aspects proposed in this paper, and early network heat and influence are the two most important observation indexes. Compared to the tra- ditional terrorism event, online terrorism event has a very different way of implementation, and the difference is the most intuitive. Early warning index system recommended in this paper can be very useful for the network security organization to identify the problems and then solve them in time.

关 键 词：网络恐怖事件 预警指标体系 德尔菲专家法 层次分析法 

分 类 号：G304[文化科学]