Authors: Jiyoung Lim; Inshil Doh; Kijoon Chae
Addresses: Department of Computer Software, Korean Bible University, Seoul, South Korea ' Department of Computer Science and Engineering, Ewha Womans University, Seoul, South Korea ' Department of Computer Science and Engineering, Ewha Womans University, Seoul, South Korea
Abstract: 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.
Keywords: IoT; internet of things; structured smart grid; context awareness; privacy protection; privacy preservation; authentication; smart grid security; system management; interoperability; intelligent decision making; outside attacks.
International Journal of Web and Grid Services, 2017 Vol.13 No.2, pp.170 - 185
Available online: 25 Mar 2017 *Full-text access for editors Access for subscribers Purchase this article Comment on this article