Cyber-Resilient Energy Infrastructure and IoT

Energy infrastructure is of strategic importance to every nation as it plays a significant role in the development of a country. Smart grid, the new-generation power grid, focuses on duplex communication between suppliers and consumers. The heterogeneous nature of smart grid possesses different security threats, and integrating these components in the grid increases the possibility of vulnerabilities. The major challenge is to make sure that power availability is not affected when implementing security in the grid and hence a cyber-resilient smart grid is the need of the hour. Secure smart grid last-mile communication includes secure smart meters, smart homes and home area network. Internet of Things (IoT)-enabled smart homes are distributed throughout the smart grid home area network to facilitate the dynamic nature of grid. Smart meters communicate with all the entities involved in last-mile communication of the smart grid. A social Internet of Things based on trust model should be implemented for cyber resilience in smart homes for secure data transmission. The trust-based social IoT smart home architecture consists of machine learning-based predictive system for detection of cyber-attacks in smart homes. Machine learning approaches will be able to consider the computing capabilities of devices involved in smart homes and analyse the possible patterns of cyber-attack in the grid. This will help in early detection of attacks and threats in the smart grid. Machine learning-based approaches in smart homes can make the grid fault-tolerant and resilient which improves the security and efficiency of the smart grid.