Providing efficient data aggregation while preserving data privacy is a challenging research problem in wireless sensor networks. In this paper,we present an intra-cluster binary stratification-based data aggregation algorithm with integrity and confidentiality protection (TIPDA).The algorithm organises intra-cluster nodes according to the logic structure of binary tree and introduce the idea of data-slicing to achieve data aggregation,meanwhile it applies the thought of Chinese remainder theorem to end-to-end integrity verification.Theoretical analysis and experimental results all show that TIPDA can effectively protect the confidentiality and integrity of data aggregation in wireless sensor networks with less communication and computational overhead.%在无线传感器网络中，提供高效的数据融合的同时又保证数据的隐私性是一个具有挑战性的研究问题。提出一个基于簇内二叉分层的完整性和机密性保护的数据融合算法（TIPDA），算法将簇内节点按照二叉树的逻辑结构进行组织，并引入了数据切片的思想完成数据融合，同时将中国剩余定理的思想引入进行端到端的完整性验证。理论分析和实验结果都表明，TIPDA算法可以有效地保护无线传感器网络融合数据的机密性和完整性，且花费较少的通信开销和计算开销。
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