云平台下入侵人员位置实时监测方法研究
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引用本文:吕 锋.云平台下入侵人员位置实时监测方法研究[J].计算技术与自动化,2022,(2):29-33
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作者单位
吕 锋 (陕西省气象局陕西 西安 710014) 
中文摘要:云平台数据遭受攻击时,入侵人员可伪造网络地址或通过间接攻击方式隐藏真实地址。此时,管理员不但要修复漏洞,还要获得证据线索和溯源。为此,提出云平台下入侵人员位置实时监测方法。分析云平台入侵监测系统设计需求,建立入侵监测模型;从数据源、安全警报等方面设置入侵人员位置监测系统结构,综合考虑各类干扰因素,设计系统电路与软件程序;利用粒子群多层解析方法,确定入侵特性权值系数矩阵,提取入侵者行为特征,并预先估计可能通过的路径;通过频谱特征采集痕迹数据,利用这些数据计算待监测位置与痕迹信息的特征模糊聚类概率,其中超出设定阈值的数据即为侵人员位置信息,实现实时监测。仿真结果表明,该方法监测到的位置信息与实际位置吻合度高,监测延时低。
中文关键词:云平台  入侵人员位置  实时监测  痕迹数据  粒子群多层解析法
 
Research on Real-time Monitoring Method of Intruder’s Position Under Cloud Platform
Abstract:When cloud platform data is attacked, the intruder can forge the network address or hide the real address through indirect attacks. At this time, the administrator not only needs to fix the loopholes, but also obtain evidence clues and traceability. For this reason, a real-time monitoring method for the location of intruders under the cloud platform is proposed. Analyze the design requirements of the cloud platform intrusion monitoring system and establish an intrusion monitoring model; set up the structure of the intruder location monitoring system from the aspects of data sources and security alarms, comprehensively consider various interference factors, design system circuits and software programs; use particle swarm multi-layer analysis The method is to determine the weight coefficient matrix of the intrusion characteristics, extract the behavior characteristics of the intruder, and estimate the possible path in advance; collect trace data through spectrum characteristics, and use these data to calculate the feature fuzzy clustering probability of the location to be monitored and trace information, which exceeds the data that sets the threshold is the location information of the intruder, realizing real-time monitoring. The simulation results show that the position information monitored by this method is highly consistent with the actual position, and the monitoring delay is low.
keywords:cloud platform  intruder location  real-time monitoring  trace data  particle swarm optimization multi-layer analysis method
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