大数据环境下的安全多维数据聚合协议

Secure Multidimensional Data Aggregation Protocol in Big Data Environment

针对大数据无线传感器网络(Wireless Sensor Networks,WSN)对路由聚合的同时难以保持数据机密性和完整性的问题进行研究,提出一种新的无线传感器网络隐式多维数据聚合协议,用于大数据环境下安全地聚合WSN生成的大量多维数据.该协议通过采用一种简单、轻量级的超递增序列和加性同态加密方案构造多维数据以保护数据的机密性,采用同态签名方案来保护数据的完整性,通过检查中间节点的完整性过滤虚假数据包实现数据的新鲜度.安全性分析显示该协议实现了端到端的安全性,实验结果表明:该协议降低了通信开销和能耗,提高了传感器网络的生存周期.

Aiming at the problem that it is difficult to maintain data confidentiality and integrity while routing aggregation in Wireless Sensor Networks(WSN),in this paper,a new implicit multi-dimensional data aggregation protocol has been proposed for wireless sensor networks,which can safely aggregate a large number of multidimensional data generated by WSN in big data environment.The protocol uses a simple,lightweight super increasing sequence and additive homomorphic encryption scheme to construct multi-dimensional data to protect the confidentiality of the data,uses homomorphic signature scheme to protect the integrity of the data,and filters the false data packets by checking the integrity of the intermediate nodes to achieve the freshness of the data.Security analysis shows that the protocol achieves end-to-end security.Experimental results show that the protocol reduces communication overhead and energy consumption,and improves the life cycle of sensor networks.