Wireless sensor networks include a large number of sensor nodes, which monitor an environment. These networks have many applications in Internet of Things (IoT) and Industrial IoT (IIoT). In wireless sensor networks, data aggregation methods are known as a suitable solution that can reduce energy consumption. In addition, these networks are subject to many attacks due to their wireless communications. Therefore, it is very important to provide data security in the data aggregation process. In this paper, we introduce some secure data aggregation schemes in wireless sensor networks and express their strengths and weaknesses. Moreover, we categorize secure data aggregation methods based on network model, network topology, key cryptography technique, encryption method, application, authentication mechanism, and data recovery ability. We believe that this taxonomy can help researchers to design secure and efficient data aggregation methods in wireless sensor networks, identify problems in existing methods, and solve them. Also, familiarity with new techniques and challenges in this field helps researchers to identify future research directions.

无线传感器网络包括大量监测环境的传感器节点。这些网络在物联网 (IoT) 和工业物联网 (IIoT) 中有许多应用。在无线传感器网络中，数据聚合方法被认为是一种可以降低能耗的合适解决方案。此外，这些网络由于其无线通信而受到许多攻击。因此，在数据聚合过程中提供数据安全性非常重要。在本文中，我们介绍了无线传感器网络中的一些安全数据聚合方案，并阐述了它们的优缺点。此外，我们根据网络模型、网络拓扑、密钥密码技术、加密方法、应用程序、认证机制和数据恢复能力对安全数据聚合方法进行分类。我们相信这种分类法可以帮助研究人员在无线传感器网络中设计安全高效的数据聚合方法，识别现有方法中存在的问题并加以解决。此外，熟悉该领域的新技术和挑战有助于研究人员确定未来的研究方向。