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适用于大规模无线传感器网络的分布式组密钥管理方案

周建钦 王影

苏州科技学院学报(自然科学版)Issue(3):36-42,7.
苏州科技学院学报(自然科学版)Issue(3):36-42,7.

适用于大规模无线传感器网络的分布式组密钥管理方案

A group key management scheme for large-scale distributed wireless sensor networks

周建钦 1王影2

作者信息

  • 1. 杭州电子科技大学 通信工程学院,浙江 杭州 310018
  • 2. 安徽工业大学 计算机科学与技术学院,安徽 马鞍山 243002
  • 折叠

摘要

Abstract

When the node resources are limited and placed in a hostile environment, wireless sensor networks are highly vulnerable to attacks and easily captured. Based on the cluster collaboration scheme, we put a group key management scheme for large-scale distributed wireless sensor networks. Mutual collaboration between the neighboring head nodes of the nearest group could update the group key in real time to reduce the attacks from the compromised nodes. The head node updates its group key when the number of compromised nodes in its own is below a threshold, and the neighboring head instead of the group head updates it when above a threshold. The neighboring heads will inform the base station and entire network in the latter situation that the group has failed, cut their communication with it, and redeployed it. When the head node compromises, its nearest head nodes will collaborate with other neighboring heads to select a new node in the group as their head. Compared with that the whole network has one common polynomial, that every group has a distinct polynomial greatly decreases the at-tacks of collusion. The network has increased its self-healing property by setting related parameters. The experi-mental results show that the communication overhead of the head node comes to a certain value with the increase of the member in each group. Therefore, this scheme is suitable for large-scale networks having multiple different levels of self-healing demands.

关键词

无线传感器网络/组密钥管理/协作/自愈/安全性

Key words

wireless sensor network/group key management/collaboration/self-healing/security

分类

信息技术与安全科学

引用本文复制引用

周建钦,王影..适用于大规模无线传感器网络的分布式组密钥管理方案[J].苏州科技学院学报(自然科学版),2014,(3):36-42,7.

基金项目

国家自然科学基金资助项目(61272045);浙江省自然科学基金资助项目 ()

苏州科技学院学报(自然科学版)

2096-3289

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