Intrusion detection system model for wireless sensor networks

JIN Xin; HU Ping

doi:10.13873/J.1000-9787(2016)05-0046-03

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Intrusion detection system model for wireless sensor networks

更新时间：2025-09-11

- Intrusion detection system model for wireless sensor networks
- Vol. 35, Issue 5, Pages: 46-48+59(2016)
- 作者机构：
  
  南京工业大学计算机科学与技术学院
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2016)05-0046-03
  CLC： TN929.5;TP212.9;TP393.08
- Published：2016
- 稿件说明：
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[1]金鑫,胡平.无线传感器网络入侵检测系统模型[J].传感器与微系统,2016,35(05):46-48+59.

JIN Xin, HU Ping. Intrusion detection system model for wireless sensor networks[J]. 2016, 35(5): 46-48+59.
[1]金鑫,胡平.无线传感器网络入侵检测系统模型[J].传感器与微系统,2016,35(05):46-48+59. DOI： 10.13873/J.1000-9787(2016)05-0046-03.

JIN Xin, HU Ping. Intrusion detection system model for wireless sensor networks[J]. 2016, 35(5): 46-48+59. DOI： 10.13873/J.1000-9787(2016)05-0046-03.

摘要

为了提高无线传感器网络的安全性

针对无线传感器网络的自身特性

设计了一种入侵检测系统模型。该模型按照聚类的方法

将区域划分成簇;在每个簇中选举簇头

簇头需定期轮换;采用基于相关向量机（RVM）的入侵检测方案。实验表明:所提出的模型与其它检测模型相比具有更高的平均检测率和更低的平均误检率

且具有低能耗的特点。

Abstract

To improve safety of wireless sensor networks（ WSNs）

in view of characteristics of WSNs

an intrusion detection system model is designed. According to clustering method

the model divides area into clusters; elect cluster heads in each cluster

cluster heads should be rotated regularly; adopt intrusion detection scheme based on relevance vector machine（ RVM）. Experimental results show that the proposed model has a higher average detection rate and lower average false rate compared with other intrusion detection models

and has characteristics of low energy consumption.

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references

物联网感知层安全性研究综述 [J]. 王素苹. 传感器与微系统 . 2015(06)

基于能量和距离加权的WSNs簇头选择算法 [J]. 王进,邵玉斌,龙华,杜庆治. 传感器与微系统 . 2014(05)

无线传感器网络的研究进展 [J]. 李建中,高宏. 计算机研究与发展 . 2008(01)

聚类算法研究 [J]. 孙吉贵,刘杰,赵连宇. 软件学报 . 2008(01)

A Global Hybrid Intrusion Detection System for Wireless Sensor Networks [J] . Yassine Maleh,Abdellah Ezzati,Youssef Qasmaoui,Mohamed Mbida. Procedia Computer Science . 2015

Application of the relevance vector machine to canal flow prediction in the Sevier River Basin [J] . John Flake,Todd K. Moon,Mac McKee,Jacob H. Gunther. Agricultural Water Management . 2009 (2)

Group-based intrusion detection system in wireless sensor networks [J] . Guorui Li,Jingsha He,Yingfang Fu. Computer Communications . 2008 (18)

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Related Institution

College of Computer Science and Technology,Henan Polytechnic University

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