Data aggregation in wireless sensor networks refers to acquiring the sensed data from the sensors to the gateway node. It reduces the amount of power consumed during data transmission between the sensor nodes. Generally homomorphic encryptions have been applied to conceal communication during aggregation. Since enciphered data can be aggregated algebraically without decryption. Here adversaries are able to forge aggregated results by compromising them. However, these schemes are not satisfying multi-application environments, provide insecure transmission and do not provide secure counting for unauthorized aggregation attacks. In this paper, we propose a new concealed data aggregation scheme extended from homomorphic privacy encryption system. The proposed scheme designed for a multi-application environment, mitigates the impact of compromising attacks in single application environments and also it can avoid the damage from unauthorized aggregations by the privacy homomorphic encryption scheme.

翻译：无线传感器网络中的数据汇总是指从传感器到网关节点获得感测数据。它减少了传感器节点之间数据传输过程中所消耗的电量。一般使用同质加密来隐藏聚合过程中的通信。由于加密数据可以在不解密的情况下汇总代数。在这里,对手能够通过损害这些数据而得出汇总结果。然而,这些计划不符合多种应用环境的要求,提供不安全的传输,并且不为未经授权的聚合袭击提供安全的计数。在本文中,我们提议从同质隐私加密系统扩展一个新的隐藏数据汇总计划。为多用途环境设计的拟议计划可以减轻在单一应用环境中的折射攻击的影响,还可以避免隐私同质加密计划对未经授权的聚合造成损害。