摘要
数据融合能减少无线传感器节点中传输的冗余信息量,节省传感器的能量消耗和通信带宽。而无线传感器网络由于部署的环境和自身的特点使得在数据融合过程中的隐私信息易受到各种威胁。为了减少信息传输过程中的冗余信息和保护数据融合过程中的隐私信息安全,文中通过对经典安全数据融合方案ESPDA进行改进,提出一种基于隐私保护的非线性安全数据融合方案,方案先生成模式码确定上传节点后再进行非线性融合,使其在实现数据融合隐私保护的同时能够在一定程度上减少能耗。仿真结果表明,它不仅能够有效地消除冗余数据的传输,减少能耗,而且还能保证数据安全完整地传输至融合节点。
Data aggregation can reduce the amount of redundant information transmission in the wireless sensor nodes, save energy con- sumption and communication bandwidth of the sensor. Due to the deployed environment of wireless sensor networks and its characteris- tics, the privacy of information during the data aggregation process is vulnerable to a variety of threats. In order to reduce the redundant information in transmission process and protect the privacy information security in information aggregation, propose a nonlinear security data aggregation scheme based on privacy protection through improving the classical secure data aggregation scheme ESPDA, after created pattern -codes to determine the upload node it begins nonlinear aggregation, so that it can protect privacy information during data aggrega- tion process and reduce energy consumption to a certain extent. The simulation results show that it is not only able to effectively eliminate information redundancy, reduce energy consumption, but also to ensure the data is security and integrity transports to the aggregation nodes.
出处
《计算机技术与发展》
2013年第9期114-118,共5页
Computer Technology and Development
基金
国家自然科学基金资助项目(60873231)
国家"973"重点基础研究发展计划项目(2011CB302903)
江苏高校优势学科建设工程资助项目(yx0020014)
青年科学基金项目(61202353)
