Machine Learning for Cybersecurity Protection of Power Grid Control Infrastructures

Dear Colleagues,

The increased interconnectivity of modern power grids through cyber-physical systems has made them vulnerable to cyberattacks, which can disrupt their operation and cause widespread outages. Given the potential for such attacks to cause significant damage to life and the economy, protecting power grids from cyberthreats is a high-priority issue. In this context, this Special Issue seeks to highlight the use of machine learning, which has proven effective in detecting and mitigating data anomalies, as a means of addressing cyberthreats against power grids. The issue will feature up-to-date research articles on machine learning implementation and achievements in cyberthreat detection and mitigation in power grids.

Topics of interest include, but are not limited to, the following areas:

• Cybersecurity dataset generation;
• Power grid vulnerability diagnosis;
• Cybersecurity testing;
• Privacy protection and federated networks;
• Anomaly detection;
• Intrusion detection systems;
• Wide-area monitoring and protection systems;
• SCADA systems;
• Control systems;
• Recognition and avoidance of phishing;
• Malware identification;
• Intrusion prevention systems;
• Denial of services attacks;
• Time synchronization attacks against phasor measurement units;
• Time delay attack;
• Attacks in wireless sensor grids;
• Stealthy cyberattack detection;
• Electricity theft detection;
• Black box attacks;
• Line failure attack detection;
• Automatic attack filtering.

Prof. Dr. Mohamed Benbouzid
Dr. Tarek Berghout
Prof. Dr. Yassine Amirat
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.