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Trustworthy AI for Cybersecurity and IoT Applications

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: closed (10 December 2023) | Viewed by 627

Special Issue Editors

IEIIT Institute, Consiglio Nazionale delle Ricerche (CNR), Piazzale Aldo Moro, 7, 00185 Rome, Italy
Interests: certification of AI; explainable AI; control of communication networks; cybersecurity
Special Issues, Collections and Topics in MDPI journals
Department of Electrical, Electronic and Telecommunications Engineering, and Naval Architecture (DITEN), University of Genova, Via Opera Pia 11A, 16145 Genova, Italy
Interests: routing, scheduling, and congestion control algorithms in satellite, vehicular, and sensor networks; the study and development of machine learning (ML)-based techniques for cybersecurity solutions, such as ML-based intrusion detection systems (IDS); the employment of networking technologies, such as network function virtualization (NFV) and software defined networking (SDN), for the integration of these networks with the terrestrial infrastructure within 5G
Special Issues, Collections and Topics in MDPI journals
RISE Research Institute of Sweden, Brinellgatan 4, 504-62 Boras, Sweden
Interests: the use of fault and attack injection experiments for dependability and security assessment of computer systems as well as to conduct interplay analyses between non-functional requirements such as safety and security
Rulex Innovation Labs Srl, Via Felice Romani 9/2, 16122 Genoa, Italy
Interests: machine learning and explainable AI and their application in industrial systems

Special Issue Information

Dear Colleagues,

The use of artificial intelligence (AI) has significantly accelerated in the last decade due to different concurrent technological advances. These include, but are not limited to, the development of increasingly powerful computational architectures and algorithms, the novel hardware architectures at the edge and the availability of large volumes of data. However, contemporary AI still faces fundamental challenges, and calls are being made to develop a dedicated science to study machine behavior. One of the main drawbacks of systems incorporating AI is the intrinsic complexity of AI, a factor which creates obstacles to realizing public trust.

The road to trustworthy AI will involve the attainment of: 1) human oversight; 2) robustness and safety; 3) privacy and data governance; 4) transparency; 5) diversity, non-discrimination, and fairness; 6) societal and environmental well-being, and 7) accountability.

This call for papers focuses attention to the mentioned topics, with specific focus on IoT and cybersecurity. The domains of application for are: video analytics monitoring, building and home automation, smart cities, manufacturing industry, wearables, energy, cloud, health care, automotives, supply chain, and smart farming as well as verification and validation methods and processes. Other suggested areas are welcome as well. Since the forthcoming management and control of IoT and cybersecurity applications need increasing levels of autonomy, trustworthy AI constitutes the right answer to the involved requirements in terms of reliability, explicability, efficiency, and robustness.

We request contributions presenting techniques (methods, tools, ideas, or even market evaluations) that will contribute to the future roadmap of creating trustworthy AI in IoT and cybersecurity applications. We welcome papers combining machine learning, deep learning, formal logic and other data-driven approaches with performance guarantees. Efforts to support requirements from IoT and cybersecurity applications, as well as real-world scenarios, are welcome. Technically sound empirical experiences, as well as scientifically founded innovative and speculative research lines, are relevant for evaluation.

Particular interest is devoted to ongoing research projects involving the trustworthiness of AI in cyberphysical systems, such as Horizon-EU REXASI-PRO (https://cordis.europa.eu/project/id/101070028).

Dr. Maurizio Mongelli
Dr. Fabio Patrone
Dr. Behrooz Sangchoolie
Dr. Enrico Ferrari
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.

Keywords

  • explicability of AI in IoT or cybersecurity scenarios
  • bias; out-of-distribution detection and data augmentation of IoT and cybersecurity datasets
  • redundancy schemes for safety analysis and AI reliability of IoT and cybersecurity with AI in the loop
  • reliability, robustness and resilience of IoT and cybersecurity monitoring and autonomous actuation
  • privacy preservation in the feed of AI engines driving IoT and cybersecurity applications;
  • SOTIF and risk analysis of IoT and cybersecurity ecosystems
  • market and business opportunities of Trustworthy AI in IoT or cybersecurity
  • ethical issues of AI applied to IoT and cybersecurity
  • formal logic and machine learning integration with application to IoT and cybersecurity
  • certification and standardization of AI with IoT and cybersecurity targets
  • interplay between safety and cybersecurity requirements in safety-critical systems equipped with AI
  • incorporation of machine learning techniques to reduce the time and cost of verification and validation activities

Published Papers

There is no accepted submissions to this special issue at this moment.
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