计算机应用 ›› 2015, Vol. 35 ›› Issue (3): 736-740.DOI: 10.11772/j.issn.1001-9081.2015.03.736

• 信息安全 • 上一篇    下一篇

基于代理的无线传感器网络多层安全检测方法

党鑫, 王艳, 万镪   

  1. 江南大学 物联网工程学院, 江苏 无锡 214122
  • 收稿日期:2014-10-21 修回日期:2014-12-09 出版日期:2015-03-10 发布日期:2015-03-13
  • 通讯作者: 党鑫
  • 作者简介:党鑫(1988-),男,河南南阳人,硕士研究生,主要研究方向:无线传感网络;王艳(1978-),女,江苏南京人,副教授,博士,主要研究方向:无线网络控制系统、无线传感器网络;万镪(1989-),男,江苏无锡人,硕士,主要研究方向:无线传感器网络
  • 基金资助:

    国家863计划项目(2014AA041505);江苏省自然科学基金资助项目(BK2012551)

Agent-based multi-layered security detection method in wireless sensor network

DANG Xin, WANG Yan, WAN Qiang   

  1. School of Internet of Things Engineering, Jiangnan University, Wuxi Jiangsu 214122, China
  • Received:2014-10-21 Revised:2014-12-09 Online:2015-03-10 Published:2015-03-13

摘要:

针对无线传感器网络(WSN)通信安全的问题,提出了一种基于代理的多层安全检测方法。该模型按节点功能不同将网络中的节点分为三层,各层分别执行相应的检测方法进行入侵判定,以维护网络的安全。考虑到节点能量有限的约束,引入移动代理技术进行高效的数据采集;同时,利用代理节点辅助簇头节点完成底层安全检测任务,降低簇头节点的能耗,提高簇头节点的生命周期。仿真实验表明,与传统的Su和eHIDS安全检测方法相比,对于Normal、Probe、Hello等攻击,所提方法下的检测率最多可提升约35%,误报率最多可降低约10%并且网络整体能耗明显减少,因此该方法可有效地检测无线传感网络中的网络攻击。

关键词: 无线传感器网络, 安全检测, 多层模型, 移动代理, 能量

Abstract:

To facilitate the communication security of Wireless Sensor Network (WSN), an Agent-based multi-layered security detection method was proposed. Nodes were divided into three layers based on the different functions, and each layer performed the appropriate detection method to maintain the security of network. In order to reduce the energy consumption, mobile Agent technology was applied to collect data efficiently. And then, the Agent nodes completed the underlying security detection tasks to reduce the energy and prolong network life of head nodes. Finally, the experimental results show that, compared with the methods of Su and eHIDS, the proposed algorithm can increase detection rate by at most 35% and decrease false alarm rate by at most 15% respectively, as well as better performance from perspectives of energy consumption, showing an effective method to detect attack in WSN.

Key words: Wireless Sensor Network (WSN), security detection, multi-layer model, mobile Agent, energy

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