Special Issue "Cyber Factories – Intelligent and Secure Factories of the Future"
Deadline for manuscript submissions: closed (31 October 2020).
Interests: Cyber Security; Machine learning; Intelligent Decision Support; Intelligent and Secure Energy Systems
Special Issues and Collections in MDPI journals
The digitalization of production is often described as being another industrial revolution, with a tremendous impact on our lives as members of the workforce and as consumers. With the increase of distributed connected devices and the so-called industrial internet of things (IIoT), factories are facing a digital transformation that brings challenges concerning their efficiency, security and safety. The paradigm is now based on the transaction of data rather than on the transaction of goods. Any connected device, whether from the shop floor or remotely from third parties, despite the valuable data from the optimization and business point of view, needs to be considered as a risk.
Data collected from different sources and domains feeds data lakes, which—if properly exploited through artificial intelligence techniques—can effectively contribute to process optimization, including predictive manufacturing, and bring new data-centered business opportunities. At the same time, artificial intelligence techniques can also be employed to prevent, detect, and respond to cyber incidents. Moreover, a combination of cyber and physical breaches brings complex attack scenarios that can only be mitigated with a holistic view of security, with different techniques but covering all of the cyber security life-cycle.
Another challenge in the factories of the future is the way human–machine interactions are changing from a context where humans operate machines to the one where humans and robots collaborate. An environment with a straight collaboration between humans and robots will benefit from methodologies that can monitor human and machine behavior and adapt both to operate safely.
The aim of this Special Issue is to provide a forum for the dissemination of works in which academics and industrial practitioners discuss the opportunities and threats of the factories of the future, and how artificial intelligence can impact on them.
Prof. Dr. Isabel Praça
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 papers will be 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. Applied Sciences 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 1800 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.
- Adversarial machine learning
- Artificial intelligence for optimization and security in cyber factories
- Collaborative robotics
- Correlation of cyber–physical threats
- Cyber awareness in manufacturing environments
- Cyber range
- Digital twins
- Energy efficiency in manufacturing
- Explainable artificial intelligence
- Factories of the future use cases
- Human–machine interaction
- Industrial intrusion detection systems
- Investigation systems
- IT/OT risk assessment
- Predictive maintenance
- Systems interoperability and log semantic