Detection of Cyber-Attack in Smart Grids Using Machine Learning Algorithms

The modern power grid faces escalating threats from both cyberspace and physical space. Malicious attackers may exploit some of the power grids' inherent structural vulnerabilities. For operators to be able to make judgments, it is essential to identify the precise causes and types of disturbances in the power system. Cyber-attacks are a vulnerability of the system that you want to take away by being able to detect in time and prevent.

کلیدواژه ها:

Keywords smart grids ، cyber-security ، artificial intelligence ، piratical swarm optimization ، K- nearest neighbors.