A Data Fusion Method Based on P2P

摘要：

　　Distributed security behaviors monitoring,DSBM,isthe main rearch object of larges scale network secunity.However,the single point of failure problem,low efficiency and high false positive rate exist in the present DSBM. Hereby,irstly,the paper introduces hierarchical P2P model in DSBM,and this will solve the single point of failure problem in architecture. Secondly,the paper also designs a data forwarding method based on node priority and link delay to promote efficiency of data analysis.In the last,in order to reduce false positive rate,the paper introduces the concept of nodes reliability and proposes PSORT-DS method to process the alert datum.The experimental results show that,compared to PSO-DS and Basic-DS.the method reduces about 3%and 7% in false positive rate,improves about 4% and 16% in detection rate.

关键词： Distributed security behaviors monitoring P2P DS evidence theory PSO algorithm

会议类型: 国内会议

会议名称: 第八届中国可信计算与信息安全学术会议

会议地点: 湖北恩施

会议语种:英文

页码: 1-7

在线出版日期: 2014-09-13（万方平台首次上网日期，不代表论文的发表时间）