摘要
与传统的Web应用及信息媒体应用相比,社会化媒体给人们生活带来了诸多便利,但同时,其与真实社会的交融互动对社会的直接影响也越来越大,甚至一定程度上影响着国家安全与社会稳定,开展基于社会传感器的网络安全态势感知及应急管理的研究将有助于解决国家安全、社会发展等方面问题。本文提出了一种基于社会传感器的网络安全态势感知及应急管理模型。该模型以社会化媒体个体生成内容为传感器数据源,通过网民行为、情感、态度等数据感知网络社会与现实社会的安全态势,并结合计算机仿真系统,以实时数据分析为导向,用以解决具体突发事件。
Compared with the traditional Web and information applications,social media has brought a lot of convenience to people’s lives. At the same time,it ’ s becoming wider for its direct interaction with the real society and impact on the society,even to a certain extent affects the national security and social stability. Research on network security situational awareness and emergency management based on social sensor will contribute to solve the problem of national security,social development,etc. This paper presents a model of network security situational awareness and emergency management based on social sensors. With the individual social media,the model researches the content such as the sensor data,behavior,emotions,attitudes and other data that are generated by Internet users and perceives security situation of network society and realistic society. In order to solve specific emergencies,it can also be combined with computer simulation system and be guided by real-time data analysis.
出处
《智能计算机与应用》
2017年第6期135-138,共4页
Intelligent Computer and Applications
基金
哈尔滨学院青年(硕士)科研基金项目(HUYF2013-002)
黑龙江省哲学社会科学基金项目(16TQD03
16XWB01)
黑龙江省高校图工委项目(2013-B-065)
哈尔滨市科技创新人才专项青年后备人才项目(2017RAQXJ102)
国家社科基金重大项目(17ZDA291)
关键词
社会传感器
网络安全
态势感知
危机管理
social sensors
network security
situational awareness
crisis management