Security and Privacy Issues in AI-Blockchain Enabled Digital Twin–Based Smart Grid

Abstract

The integration of blockchain and AI technologies in digital twin–based smart grids harnesses the vast potentials lying ahead. This ensures heightened security, privacy, and operational effectiveness within energy systems. A digital twin is a detailed virtual replica of physical power systems, with real-time monitoring, predictive maintenance, and scenario simulation. Furthermore, it guarantees data integrity and transparency through its decentralized immutable ledger and secure automated transactions using smart contracts. This synergy enhances grid resilience, optimizes resource management, and builds trust with stakeholders through data protection and the operational transparency it provides around sensitive data. However, these technologies also raise significant security and privacy challenges when deployed. Depending on AI and blockchain, the smart grid becomes exposed to new cyber threats, including man-in-the-middle and distributed denial of service attacks, which compromise data integrity and system integrity. This is ensured by sensitive information being protected at all costs, including consumer energy use patterns and details of grid infrastructures. It could be ensured via implementation of advanced encryption techniques and strong access control mechanisms to prevent unauthorized access and breaches. In addition, adherence to regulatory compliance, such as GDPR, CCPA, and data protection laws, strictly enforces data governance and proper anonymity practices to follow in building consumer trust and remaining legally compliant.