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- W2394384141 abstract "Intrusion detection method for wireless sensor networks(WSNs) is current research hot spot.On the basis of introductions of the principle of support vector machine(SVM),WSNs intrusion types and characteristics of different types of data,an intrusion detection system for WSNs based on SVM is put forward.This system divides network topology into three layers structure,which are cluster members,cluster header and Sink node,and each layer can execute judgment of intrusion detection according to SVM training results.The experimental results show that the detection system has characteristics of higher detection rate and low energy consumption." @default.
- W2394384141 created "2016-06-24" @default.
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- W2394384141 date "2012-01-01" @default.
- W2394384141 modified "2023-09-24" @default.
- W2394384141 title "Intrusion detection system for WSNs based on SVM" @default.
- W2394384141 hasPublicationYear "2012" @default.
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