Smart IoT devices, such as smart meters, which are supported by various industry vendors, will be interconnected through peer-to-peer connections to provide useful information in the smart grid system. However, incoming and outgoing information can be misused by the adversaries if a secure communication environment is not established. The adversary, which could be a malicious smart meter, can perform security attacks, such as man-in-the-middle, replay, and impersonation, in order to extract critical information about the system and its consumers.
DDS supports scalability, performance, and QoS for IoT devices with peer-to-peer communications. It also provides secrecy, integrity, and nonrepudiation of data objects. However, it supports limited authentication and authorization capabilities with no access control and data privacy.
The aim here is to come up with a secure and efficient publisher-subscriber model-based architecture for the smart grid, which improves the overall security by placing an additional security layer over DDS that supports authentication, authorization, access control, and data privacy with end-to-end encryption, scalability and efficiency.
Contacts: Neetesh Saxena, Nikos Ntemkas
Funders: Bournemouth University
Collaborators: Georgia Institute of Technology