A Healthy Node Selection Method Based on Particle Swarm Optimization under Network Intrusion Environment

摘要：

　　In the network intrusion environment,how to realize the accurate selection of healthy nodes and use them for se-cure communication is a research hotspot of network security technology.In this paper,a healthy node selection method based on particle swarm optimization under the network in-trusion environment is proposed.First,a fuzzy mathematical model is established for node features to constrain the cost of healthy node selection.Then,we introduce the particle swar-m optimization algorithm and combine the uncertain factors to optimize the parameters to achieve the selection of healthy nodes.The experimental results show that,compared with the traditional BP neural network method,our healthy node selection method improves the accuracy of healthy node se-lection,shortens the running time,and can control the error after invasion to a reasonable range.

关键词： network intrusion health network node Node Selection fuzzy constraint model particle swarm optimization BP neural network

作者: Jun Zhang Ping-ping Xia Juan Zhang Haiyun Peng

作者单位: School of Information Engineering,Jiangsu Maritime Institute Nanjing 211170,China School of Information Engineering,Jiangsu Second Normal University Nanjing 210013,China

会议类型: 国际会议

会议名称: 2019国图灵大会(ACM Turing Celebration conference-China 2019 )

会议地点: 成都

会议语种:英文

页码: 669-675

在线出版日期: 2019-05-17（万方平台首次上网日期，不代表论文的发表时间）