Time Granularity-based Privacy Protection for Cloud Metering Systems

Hesham Aly El Zouka, Mustafa Mohamed Hosni
2020 Advances in Science, Technology and Engineering Systems  
Due to the advent of cloud computing and Internet of Things, smart meters have become a crucial part of smart cities. Smart meters generate vast amounts of fine-grained data that can immediately provide useful information to electricity consumers, such as automatic billing, load monitoring, and dynamic time pricing. This will make the electricity consumers more energy-efficient and self-organized in IoT and cloud computing technology. Smart meters also enable two-direction flow of energy and
more » ... ance the measurement of inflows and outflows of energy between the meter and electric utility's central system through remote reporting. Besides, they help designers integrate renewable energy generation, such as solar rooftops to cover remaining energy needs. However, smart meters entail some severe security challenges. From a security point of view, these meter readings have a potential threat on personal privacy and the collected meter data. They may also reveal some details about consumer's lives. Thus, the data acquisition from those meter readings is expected to incorporate privacy requirements and application demands. In addition, the collected raw data from various meter readings needs to be collected from IoT smart metering sensors and stored in the cloud to be accessed and analyzed by electricity consumers. Subsequently, this considerable information Is prone to privacy threats and security vulnerabilities as the transmission of data to the cloud is most likely to cause a data breaching. In this paper the privacy and confidentiality of meter readings is protected through trusted platform module, which will allow the electricity provider to get the energy consumption at a periodic time granularity.
doi:10.25046/aj0506152 fatcat:kdwzxxz7tnde5fbyz4llpdvtna