基于业务流量挖掘的C^4ISR系统重要目标识别方法  

Important Object Recognition Method for C^4ISR System Based on Operation Traffic Mining

作　　者：周芳[1] 楚威[1] 程文迪[1] Zhou Fang;Chu Wei;Cheng Wendi(The Information System Important Laboratory of the 28th Research Institute of China Electronics Technology Group Corporation, Nanjing 210007, China)

机构地区：[1]中国电子科技集团公司第二十八研究所信息系统工程重点实验室,南京210007

出　　处：《系统仿真学报》2018年第4期1520-1527,共8页Journal of System Simulation

摘　　要：针对对抗条件下如何准确识别敌方C^4ISR系统重要目标问题,提出了一种基于业务流量挖掘的重要目标识别方法。采集系统业务流量,建立基于六元属性组的业务数据报文描述模型,基于报文源/目的IP地址,建立业务流量关联矩阵和连通性关联矩阵,统计系统节点的流入/流出业务流量,建立基于统计流量的系统节点重要度计算模型。在仿真环境下以某区域防空作战指挥系统为例,开展系统重要目标识别的试验验证,结果表明,提出的方法能有效识别出系统中重要节点,避免了因系统信息不完整而导致重要目标识别失效问题。Considering the problem of vital object recognition for C^4ISR system under confrontation condition, a vital object recognition method based on operation traffic mining is proposed. The system operation traffics are collected, the operation data packet describing model is established based on six attribute group described method. The operation traffic association matrix and connectivity matrix are built based on the source IP and destination IP address on data packet. The inflow and outflow operation traffics about system node are counted, and the system vital computation model is established based on statistical traffics as the measurement criteria of system object importance. Some area air defense operation command system is taken under simulation experiment environment, and the vital system object test verification is carried out. The test result shows that the vital object identification method can efficiently identify important object. Compared with the traditional method, the new method can avoid the problem of vital object identification failure brought by incomplete information.

关 键 词：C^4ISR系统 业务流量 重要目标识别 复杂网络 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]