Dear Colleagues,

The implementation of the Internet of Things (IoT) in critical infrastructures(CI) such as the smart power grid has seen exponential growth. Thus, it is not surprising that many recent cyber-attacks are IoT-enabled; the attacker initially exploits vulnerable IoT technology and then breaches a critical device that is linked to it in some way. Such attacks present a serious threat for certain industries, such as smart grids, transportation, and medical services, as IoT technologies constitute part of essential backend systems in these areas.

This Special Issue aims to address research on the role of IoT in critical infrastructures. As the capabilities of the distributed systems grow, data can be stored locally with the edge without affecting the transmission of private data. Processing consumer data locally will restrict its use by the machine learning model, a process known as federated learning. In this category of learning, models are trained and deployed directly in remote devices with respect to maintaining consumer data locally.  “Device” here refers to any distributed system with the leverage to deliver the benefits of federated learning.

Dr. Uttam Ghosh
Dr. Amrit Mukherjee
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 100 words) can be sent to the Editorial Office for announcement on this website.

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. Sensors 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 2600 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.

• machine learning
• cybersecurity
• AI
• critical infrastructure
• smart grid
• reliability analysis
• wearable medical device