Secure and structured IoT smart grid system management.

The Internet of Things IoT has been developing rapidly and inspiring numerous applications that can improve daily life. Among these, smart grid systems are expected to efficiently distribute energy and help address the energy shortage problem. However, grid data and information from heterogeneous embedded devices may result in security and communication problems in an IoT environment. Even in the situation where low-level information causes interoperability problems, the devices should be able to communicate with each other in a safe and efficient manner without a server or human intervention. In this paper, we propose a security-based context-aware smart grid system using an energy usage data aggregation and context awareness. Our proposal allows for intelligent decision-making and provides efficient smart grid system management based on machine knowledge. Using our proposed method, a smart grid system can provide robust and secure services, which can defend the system against various outside attacks.