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Key Predistribution Technique based on Matrix Decomposition in Wireless Sensor Network

机译:基于无线传感器网络中矩阵分解的关键预分析技术

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In many applications wireless sensor networks are used and are installed in hostile environment for sensing different data. To secure data, cryptographic techniques are used. The sensor nodes in the network are distributed randomly in the network and these communicate with the node present within the range of the node. In order to have secure communication by maintaining confidentiality and authentication, key predistribution technique is used. Key predistribution also reduces the memory overhead of storing the key information in the sensor node. In this method key is predistributed in the network before communication. The paper proposes key predistribution method based on matrix decomposition technique known as Cholesky decomposition technique. In this method the key matrix decomposes into lower and upper triangular matrix. The upper triangular matrix is the transpose of lower triangular matrix. Each node stores the row and column information. The nodes involve in communication exchange the row information of the decomposed matrix to generate the secret key which is used for secure message communication. This method provides better key connectivity and also needs less memory to store the polynomial store in the node to generate the key.
机译:在许多应用中,使用无线传感器网络,并安装在敌对环境中,以便感测不同的数据。为了保护数据,使用加密技术。网络中的传感器节点在网络中随机分布,并且这些与节点范围内存在的节点通信。为了通过维护机密性和认证来拥有安全通信,使用密钥预分布技术。密钥预分析还减少了在传感器节点中存储关键信息的存储器开销。在该方法中,键在通信之前预先分布在网络中。本文提出了基于矩阵分解技术的关键预分析方法,称为Cholesky分解技术。在此方法中,密钥矩阵分解为下三角矩阵和上三角矩阵。上三角矩阵是较低三角形矩阵的转置。每个节点存储行和列信息。节点涉及通信交换分解矩阵的行信息以生成用于安全消息通信的密钥。此方法提供更好的密钥连接,并且还需要更少的内存来存储节点中的多项式存储以生成密钥。

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