The use of cloud computing has become common due to advantages such as low cost and sizing of computing resources according to demand. However, it also raises security and privacy concerns, because critical data – for example, in IoT applications – are stored and processed in the cloud. This paper proposes a software architecture that supports multiple approaches to secure data aggregation. For validation purposes, this software architecture was used in the development of applications for smart grids, computing instantaneous consumption of a region and the monthly bill of an individual consumer. The consumption data can be collected by smart meters, enabling consumers to reduce electricity costs through close monitoring. However, such data may reveal sensitive information if no privacy techniques are applied. Therefore, the proposed software architecture proved to be viable from experiments with techniques such as homomorphic encryption and hardware security extensions (Intel SGX).

中文翻译：

---

云计算上的安全性和隐私感知数据聚合

由于诸如低成本和根据需求调整计算资源的优点，云计算的使用已变得普遍。但是，由于关键数据（例如，IoT应用程序中的数据）是在云中存储和处理的，因此也会引起安全性和隐私问题。本文提出了一种支持多种方法来保护数据聚合的软件体系结构。为了进行验证，此软件体系结构用于智能电网的应用程序开发，计算区域的瞬时消耗和单个消费者的每月账单。消耗数据可以通过智能电表收集，从而使消费者可以通过密切监视来降低电费。但是，如果未应用隐私技术，则此类数据可能会泄露敏感信息。因此，