Cybersecurity Issues in Smart Grids and Future Power Systems

• Beste egile batzuk: Arshad, Arshad (Argitaratzailea)
• Formatua: Baliabide elektronikoa Liburu kapitulua
• Hizkuntza: ingelesa
• Argitaratua: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• Gaiak: Film, TV & radio; augmented reality; cybersecurity; smart city; systematic literature review; cyber security for smart cities; communication wireless network; man-in-the-middle (MITM) attack; network intrusion detection system (NIDS); malicious URLs; cyber threat intelligence; ensemble learning; internet security; convolution neural network; deep learning; Internet of Things; intrusion detection; path planning; Max-Min Ant Colony Optimization; differential evolution; Cauchy mutation; malware detection; malware visualization; transfer learning; network traffic; explainable AI; cyber security; time series; fractal analysis; fractal dimension; Hurst exponent; scaling exponent; cyberattacks; electricity theft detection; smart grids; robustness; smart meters; Tomek links; Levenberg-Marquardt backpropagation; protection sensor; Bayesian optimization; modular multilevel converter; computer networks; cyber attack; signal detection; machine learning; smart grid; transformer neural network; convolutional neural network
• Sarrera elektronikoa: DOAB: download the publication; DOAB: description of the publication

There has been an increased interest in renewable energy sources in the last few decades. Modern power systems rely mainly on power electronic-based generation and loads, leading to the adoption of smart grids that leverage digital communication infrastructure. Smart grids have several advantages, i...