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《Transducer and Microsystem Technologies》 2011-09
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Research on WSNs intrusion detection technology based on PSO-RBF

YI Xiao-mei,WU Peng,LIU Li-juan,DAI Dan(School of Information Engineering,Zhejiang Agriculture and Forestry University, Hangzhou 311300,China)  
A particle swarm optimization(PSO),radial basis function(RBF)lightweight intrusion detection framework is proposed aiming at the features of WSNs.The parameters of RBF is optimized by assimilating the advantages both of PSO's global search and RBF's local search,the test result shows that PSO-RBF algorithm might be effectively and reliably used in WSNs intrusion detection system.
【Fund】: 浙江省自然科学基金资助项目(Y3100363Y3100367Y3090558);; 浙江省教育厅科研计划资助项目(Y200908868)
【CateGory Index】: TP212.9;TN915.08
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