# Security and Privacy Preserving Data Aggregation in Cloud Computing

## TL;DR

This paper proposes a privacy-preserving smart metering data aggregation method using Intel SGX technology, addressing key privacy concerns while maintaining system efficiency and effectiveness.

## Contribution

It introduces a novel architecture leveraging Intel SGX to ensure privacy in smart metering, filling gaps left by previous approaches.

## Key findings

- The SGX-based solution effectively preserves privacy.
- Experimental results show comparable performance to non-privacy-preserving methods.
- The architecture is simple, general, and meets all privacy requirements.

## Abstract

Smart metering is an essential feature of smart grids, allowing residential customers to monitor and reduce electricity costs. Devices called smart meters allows residential customers to monitor and reduce electricity costs, promoting energy saving, demand management, and energy efficiency. However, monitoring a households' energy consumption through smart meters poses serious privacy threats, and have thus become a major privacy issue. Hence, a significant amount of research has appeared recently with the purpose of providing methods and mechanisms to reconcile smart metering technologies and privacy requirements. However, most current approaches fall short in meeting one of several of the requirements for privacy preserving smart metering systems. In this paper we show how Intel SGX technology can be used to provide a simple and general solution for the smart metering privacy problem that meets all these requirements in a satisfactory way. Moreover, we present also an implementation of the proposed architecture as well as a series of experiments that have been carried out in order to assess how the proposed solution performs in comparison to a second implementation of the architecture that completely disregards privacy issues.