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基于区域的无线传感器网络密钥管理
  • 期刊名称:计算机学报, 29(9): 1608-1616, 2006.
  • 时间:0
  • 分类:TP393[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]
  • 作者机构:[1]西安电子科技大学计算机网络与信息安全教育部重点试验室,西安710071, [2]空军工程大学电讯工程学院,西安710077, [3]西安电子科技大学通信工程学院,西安710071
  • 相关基金:本课题得到国家自然科学基金(60573035,60573036)、陕酲省自然科学基础研究计划项目基金(2005F28)和酲安电子科技大学研究生创新基金(创05006)资助.
  • 相关项目:可证安全的多方安全协议的分析与设计
中文摘要:

要密钥分配是无线传感器网络中极具挑战性的安全问题之一.目前提出的解决方法是采用密钥预分配策略,给每个节点分配多个密钥,如Eschenauer和Gligor提出的随机密钥预分配方案(R—KPS).随机密钥预分配方案没有利用节点的部署和位置信息,在许多应用场合中,部署和位置信息能被用于改善网络性能.在R—KPS中,每个节点有可能成为其它任何节点的邻居,所以节点必须从同一密钥池中选取密钥.如果能把网络划分为多个区域,则同一区域内和相邻区域间的节点更有可能成为邻居.文章提出一种利用已知区域信息的密钥预分配方案,相比随机密钥预分配方案,能提高网络的连通性,减小节点所需存储空间,并能增强网络抗攻击能力.最后利用上述区域信息提出一种不借助定位设备的节点定位算法,此算法实现简单,适用于定位精度要求不高的场合.

英文摘要:

Key distribution is one of the most challenging security problems in wireless sensor networks, existing approaches to this problem are to assign more than one key to each node, such as the random key pre-distribution scheme(R-KPS) proposed by Eschenauer and Gligor. The random key pre-distribution scheme does not use any deployment and location information, but in many practical scenarios, certain deployment knowledge may be available and can improve the performance. In R-KPS every node should choose key chain from the same key pool because they are equally likely to be neighbors. However, if the network can be divided into several domains, nodes from specific domain are more likely to be neighbors of nodes from the same domain and those from nearby domains. In this paper, the authors propose a method to improve the random key pre-distribution scheme using a priori area deployment information. Comparison to random key pre-distribution scheme shows that the authors' approach can substantially improve a network's connectivity, reduce the amount of memory required and enhance the network resilience against node capture, Finally, a new node positioning algorithm is put forward which does not rely on any position finding equipments and only exploits the domain's location information. This algorithm is simple, being applicable to the situation where the positioning accuracy demand is not high.

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