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基于网络映射的网络服务社群发现及全局表示

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针对当前网络拓扑以设备类型为标注,难以反映设备节点间服务关系的问题,提出了一种基于服务映射的网络服务节点划分算法,通过网络节点间服务映射关系,判断服务社群归属,找寻网络服务的关键节点及节点间从属关系并在传统隶属矩阵的基础上引入虚拟社群,使网络服务社群隶属关系影响度算法不仅能反映节点的社群隶属度,还能够反映节点的全局影响度.在LFR网络实验中,将该算法与同类算法进行算法敏感度和性能对比,在Internet2 OS3E仿真实验中通过模拟拒绝服务攻击验证算法划分的有效性.对比实验结果表明服务映射算法具有阈值选择低敏感性和高实用性的特点,且性能优于同类算法.仿真实验表明服务社群划分有效且能够反映节点服务间的关联性.
Network service community discovery and global representation based on network mapping
The network topology is marked with the device type,which is difficult to reflect the service relationship between the device nodes.Aiming at this problem,this paper proposes a network service node division algorithm based on service mapping.The algorithm judges the ownership of the service community through the service mapping relationship between net-work nodes,and finds the key nodes of network services and the subordinate relationship between nodes.This paper intro-duces virtual community based on traditional membership matrix.The network service community membership influence de-gree algorithm not only give the community membership degree of nodes,but also reflect the global influence degree of nodes,providing a basis for the selection of key network nodes in network security.In the experiment based on LFR network,this paper compares the algorithm sensitivity and performance with similar algorithms,and validates the effectiveness of algo-rithm partitioning in the Internet2 OS3E simulation experiment by simulating denial of service attacks.The comparative ex-perimental results show that the service mapping algorithm has the characteristics of low sensitivity and high practicability in threshold selection,and its performance is better than that of similar algorithms.The simulation results show that the service community partition is effective and can give the correlation between node services.

network serviceservice node mappingoverlapping community discoverymembership matrixglobal impact

祝现威、刘伟、安靖、徐潇雨

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中国人民解放军61660部队,北京 100080

国防大学联合勤务学院,北京 100858

武警研究院,北京 100020

网络服务 服务节点映射 重叠社群发现 隶属矩阵 全局影响度

2024

指挥控制与仿真
中国船舶重工集团公司 第七一六研究所

指挥控制与仿真

CSTPCD
影响因子:0.309
ISSN:1673-3819
年,卷(期):2024.46(3)
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