一种基于社交网络的卫星IP数据分析算法
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摘要
针对卫星IP数据分析问题,利用协议分析将非结构化的IP数据文件转化为结构化特征,基于提取的结构化特征构建卫星IP通联网络,并提出了一种基于模块度的IP通联网络自动划分算法,实现了不同网络节点的自动聚类。为进一步提取IP通联网络中的信息,提出了一种基于度和集聚系数的节点重要性评价方法,实现了卫星IP通联网络中节点重要性的自动评价。实验结果表明,提出的算法能够提取卫星IP数据中的有价值信息,可有效支撑卫星通信侦察信息处理。
In order to realize the analysis of satellite IP data,the structured features are extracted from unstructured IP data file by protocol analysis,the IP network is constructed based on the structured features,and an automatic division algorithm of IP communication network based on modularity is proposed to implement automatic clustering of different network nodes.To further extract the information of IP communication network,an evaluation method of node importance based on degree and clustering coefficient is proposed to implement automatic evaluation of node importance.The simulation results show that the proposed method can extract valuable information from satellite IP data,and support satellite communication reconnaissance information processing.
In order to realize the analysis of satellite IP data,the structured features are extracted from unstructured IP data file by protocol analysis,the IP network is constructed based on the structured features,and an automatic division algorithm of IP communication network based on modularity is proposed to implement automatic clustering of different network nodes.To further extract the information of IP communication network,an evaluation method of node importance based on degree and clustering coefficient is proposed to implement automatic evaluation of node importance.The simulation results show that the proposed method can extract valuable information from satellite IP data,and support satellite communication reconnaissance information processing.
引文
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[3] 朱立东.国外军事卫星通信发展及新技术综述[J].无线电通信技术,2016,42(5):1-5.
[4] 张俊祥.卫星通信发展展望[J].无线电通信技术,2012,38(4):1-4.
[5] 李立峰,江曼,陈兵.单星卫星通信终端定位技术研究[J].无线电通信技术,2017,43(4):71-74.
[6] 续欣,刘爱军,汤凯,等.卫星通信网络[M].北京:电子工业出版社,2018:44-45.
[7] 温小东.VSAT卫星通信监测技术研究[D].西安:西安电子科技大学,2011.
[8] 温小东.浅析通信情报建模[J].数字技术与应用,2016(6):22-23.
[9] 高元锋,李佳,李少朋.面向服务的卫星通信侦察信息处理技术研究[J].无线电工程,2018,48(4):278-282.
[10] 李磊,李爱平,汪萌.基于社交网络的行为分析与挖掘[M].北京:科学出版社,2018.
[11] 陈可佳.社会网络分析中的机器学习技术综述[J].南京邮电大学学报(自然科学版),2011,31(3):83-93.
[12] 李春英,汤庸,贺超波,等.在线社交网络用户分析研究综述[J].华南师范大学学报(自然科学版),2016,48(5):107-115.
[13] GRIVAN M,NEWMAN M.Community Structure in Social and Biological Networks[J].Porceedings of the National Academy of Science,2001,99(12):7821-7826.
[14] NEWMAN M.Fast Algorithm for Detecting Community Structure in Networks[J].Physical Review E,2004,69(6):106-133.
[15] PALLA G,DERENYI I,FARKAS I,et al.Uncovering the Overlapping Community Structure of Complex Networks in Nature and Society[J].Nature,2005,435(7043):814-818.
[16] 李沐南.Louvain算法在社区挖掘中的研究与实现[D].北京:中国石油大学,2016.
[17] 秦玉帆.卫星网络拓扑评估与节点重要性的研究[D].大连:大连大学,2016.