Simulation of Malicious Nodes Detection Based on Machine Learing for WSN

被引：0
|
作者：
Zou, Kuancheng [1 ]
Ouyang, Yuanling [1 ]
Niu, Chuncheng [1 ]
Zou, Yi [2 ]
机构：
[1] Changchun Univ Technol, Sch Comp Sci & Engn, Changchun 130012, Jilin, Peoples R China
[2] Dalian Fire Protect Engn Co LTD, Dalian 116013, Liaoning, Peoples R China
来源：
INFORMATION COMPUTING AND APPLICATIONS, PT 1 | 2012年 / 307卷
关键词：
malicious nodes; Selective Forwarding; HELLO Flooding; Machine Learing; simulation; INTRUSION DETECTION;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A Machine Leafing based malicious nodes detection scheme was designed and simulated in this paper, which has modelded the characteristic behavior of Selective Forwarding, Hello Flooding and abstracted four properties of these two types of malicious nodes closely related. The nodes can be classified by using Machine Learning algorithms. The experimental results show that this method can correctly classify a certain number of sensor nodes with a lower error rate.
引用
收藏
页码：492 / +
页数：3
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