Smart grid

Identification (biology)

Electrical engineering

Physics

Key (lock)

Resilience (materials science)

Cyber threats

Mathematics

Biology

Gene

Engineering

Power (physics)

Cyber-attack

Chemistry

Grid

Geometry

Computer science

Botany

Quantum mechanics

Electric power system

Power grid

Computer security

Biochemistry

Robustness (evolution)

Thermodynamics

Energies

In this paper, a brief survey of measurable factors affecting the adoption of cybersecurity enhancement methods in the smart grid is provided. From a practical point of view, it is a key point to determine to what degree the cyber resilience of power systems can be improved using cost-effective resilience enhancement methods. Numerous attempts have been made to the vital resilience of the smart grid against cyber-attacks. The recently proposed cybersecurity methods are considered in this paper, and their accuracies, computational time, and robustness against external factors in detecting and identifying False Data Injection (FDI) attacks are evaluated. There is no all-inclusive solution to fit all power systems requirements. Therefore, the recently proposed cyber-attack detection and identification methods are quantitatively compared and discussed.

Emerging Challenges in Smart Grid Cybersecurity Enhancement: A Review