Akademik Veri Yönetim Sistemi
14th INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY RESEARCH AND APPLICATIONS, Vienna, Avusturya, 27 - 30 Ekim 2025, ss.1-6, (Tam Metin Bildiri)
Abstract— Smart
grids integrate advanced communication and control technologies to improve efficiency
and reliability of power delivery, but their interconnected nature exposes new
cybersecurity vulnerabilities. Recent attacks ranging from malware to false
data injection have demonstrated the need for robust, multi-layered defenses
spanning physical devices, network infrastructure, control systems, and
applications. Software-Defined Networking (SDN) offers centralized,
programmable control over grid communications to dynamically isolate threats
and reroute traffic during attacks. However, securing SDN-enabled smart grids
requires a defense-in-depth approach that combines diverse emerging
technologies. This paper proposes a multi-layered security concept model
leveraging blockchain for data integrity, explainable AI for transparent
decision-making, generative AI for adaptive threat detection, quantum-safe
cryptography for future resilience, big data analytics for anomaly detection,
and novel methods like radio frequency fingerprinting for device
authentication. We proposed a model and discussed how each layer and technology
contributes to a cohesive security architecture and identify open research
challenges for integrating these solutions. Ensuring privacy and trust at all
levels of the SDN-enabled smart grid is vital to safeguarding critical energy
infrastructure.