Machine learning for cybersecurity in smart grids

Machine learning for cybersecurity in smart grids - ScienceDirect.com

This review highlights the various encountered challenges, drawbacks, and possible solutions as future prospects for ML cybersecurity applications in SGs.

Enhancing Cybersecurity in Smart Grids through Machine Learning ...

This paper explores the use of Machine Learning-Based Intrusion Detection Systems (ML-IDS) as a solution to enhance the cybersecurity of smart grids.

Deep learning for cybersecurity in smart grids: Review and ...

This study presents a survey of the latest advancements in DL technology and their relevance to SG cybersecurity.

Machine Learning for Cybersecurity in Smart Grids - ResearchGate

The main objective of this paper is to review different ML tools used in recent years for cyberattacks analysis in SGs.

Cyber Security Enhancement of Smart Grids Via Machine Learning

This paper presents a comprehensive literature survey of different ML and DL techniques that have been used in the smart grid cyber security area.

Enhancing Smart Grid Security with AI-Driven Cyber Resilience

Traditional cybersecurity measures are insufficient to address the complex and evolving threats faced by modern smart grids. Artificial intelligence (AI) offers ...

Machine learning for cybersecurity in smart grids - IDEAS/RePEc

By exploring the available literature, it is undeniable that Machine Learning (ML) has become the latest in the timeline and one of the leading artificial ...

Security risk models against attacks in smart grid using big data and ...

It is challenging to choose the best ML and deep learning (DL) algorithm for electricity demand forecasting among the many available LF ...

Cyber Attacks Detection using Machine Learning in Smart Grid ...

In this work, a machine learning-based cyber attacks detection is proposed. The proposed mechanism is shown to identify false-data injection attaks.

The Role of Machine Learning Algorithms in Smart Grid Cybersecurity

Abstract. In the rapidly evolving landscape of smart grid cybersecurity, the integration of artificial intelligence and machine learning algorithms has emerged ...

Machine Learning-based Intrusion Detection for Smart Grid Computing

Compared to other environments, IDS deployment in the smart grid is highly challenging because of system security impact and its associated economic ...

Machine learning for cybersecurity in smart grids - Semantic Scholar

Machine learning for cybersecurity in smart grids: A comprehensive review-based study on methods, solutions, and prospects · Tarek Berghout, Mohamed Benbouzid, S ...

Deep learning for cybersecurity in smart grids: Review and ...

Protecting cybersecurity is a non-negotiable task for smart grids (SG) and has garnered significant attention in recent years.

Deep Learning Approaches To Intrusion Detection In Iot-Enabled ...

The increasing complexity and interconnectedness of IoT-enabled smart grids expose these systems to diverse cybersecurity threats, ...

Deep learning for cybersecurity in smart grids - IET Digital Library

Protecting cybersecurity is a non‐negotiable task for smart grids (SG) and has garnered significant attention in recent years. The application of artificial ...

CYBER ATTACKS AND DETECTION METHODS BASED ON ...

Machine learning and deep learning methods in supervised, semi-supervised and unsupervised domains have been widely used to protect smart grids ...

Machine Learning-Enabled Cyber Security in Smart Grids | 24

The National Institute of Standards and Technology (NIST) defined smart grid as a combination of conventional electrical grid and information and ...

Security risk models against attacks in smart grid using big data and ...

Security will be significantly improved by combining new and previously released data sets with machine learning and predictive analytics.

The Role of Deep Learning in Advancing Proactive Cybersecurity ...

Abstract:As smart grids (SG) increasingly rely on advanced technologies like sensors and communication systems for efficient energy ...

Machine learning for cybersecurity in smart grids - ACM Digital Library

By exploring the available literature, it is undeniable that Machine Learning (ML) has become the latest in the timeline and one of the leading artificial ...