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Secure IoT, Edge and Cloud Systems

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

Deadline for manuscript submissions: closed (20 March 2022) | Viewed by 10990

Special Issue Editors


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Guest Editor
Universita degli Studi di Messina, V.le F. Stagno D’alcontres 98166 Messina, Italy
Interests: osmotic computing; security; IoT
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Engineering, Universita degli Studi di Messina, V.le F. Stagno D’alcontres 98166 Messina, Italy
Interests: edge computing; IoT

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Guest Editor
Department of Computer Science & Engineering (DISI), University of Bologna, 40136 Bologna, Italy
Interests: distributed systems; industrial internet of things; industrial digital twins; edge cloud computing; resource orchestration in cloud/edge
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The cloud/edge paradigm fosters the deployment of digital services over multiple physical (both private and public) infrastructures even across different administrative boundaries. In its turn, the advent of IoT has led to the proliferation of smart devices connected to the Internet and a vast amount of data that may traverse several network boundaries and undergo many computational stages before being consumed. Although the benefits of these technologies are well known, in the envisaged scenario, it is also clear that the exposure of data, services, and infrastructures to malicious attacks has grown. Even a single breach of any of the links of the data-service-infrastructure chain may seriously compromise the security of the end-user application. With such a wide attack surface, security must be approached holistically and be addressed in any layer where concerns may potentially arise. The Special Issue solicits novel and innovative ideas, proposals, positions, and best practices that address the modeling, design, implementation, and enforcement of the security in cloud/edge/IoT environments.

Prof. Dr. Massimo Villari
Dr. Maria Fazio
Dr. Giuseppe Di Modica
Dr. Antonino Galletta
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

  • security
  • privacy
  • blockchain
  • federation
  • machine learning
  • authentication
  • attack detection

Published Papers (2 papers)

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Research

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25 pages, 1285 KiB  
Article
Orchestrating Heterogeneous Devices and AI Services as Virtual Sensors for Secure Cloud-Based IoT Applications
by Sebastian Alberternst, Alexander Anisimov, Andre Antakli, Benjamin Duppe, Hilko Hoffmann, Michael Meiser, Muhammad Muaz, Daniel Spieldenner and Ingo Zinnikus
Sensors 2021, 21(22), 7509; https://doi.org/10.3390/s21227509 - 12 Nov 2021
Cited by 8 | Viewed by 2659
Abstract
The concept of the cloud-to-thing continuum addresses advancements made possible by the widespread adoption of cloud, edge, and IoT resources. It opens the possibility of combining classical symbolic AI with advanced machine learning approaches in a meaningful way. In this paper, we present [...] Read more.
The concept of the cloud-to-thing continuum addresses advancements made possible by the widespread adoption of cloud, edge, and IoT resources. It opens the possibility of combining classical symbolic AI with advanced machine learning approaches in a meaningful way. In this paper, we present a thing registry and an agent-based orchestration framework, which we combine to support semantic orchestration of IoT use cases across several federated cloud environments. We use the concept of virtual sensors based on machine learning (ML) services as abstraction, mediating between the instance level and the semantic level. We present examples of virtual sensors based on ML models for activity recognition and describe an approach to remedy the problem of missing or scarce training data. We illustrate the approach with a use case from an assisted living scenario. Full article
(This article belongs to the Special Issue Secure IoT, Edge and Cloud Systems)
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Review

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31 pages, 32179 KiB  
Review
Blockchain–Cloud Integration: A Survey
by Abhirup Khanna, Anushree Sah, Vadim Bolshev, Alessandro Burgio, Vladimir Panchenko and Marek Jasiński
Sensors 2022, 22(14), 5238; https://doi.org/10.3390/s22145238 - 13 Jul 2022
Cited by 9 | Viewed by 5970
Abstract
Over the last couple of years, Blockchain technology has emerged as a game-changer for various industry domains, ranging from FinTech and the supply chain to healthcare and education, thereby enabling them to meet the competitive market demands and end-user requirements. Blockchain technology gained [...] Read more.
Over the last couple of years, Blockchain technology has emerged as a game-changer for various industry domains, ranging from FinTech and the supply chain to healthcare and education, thereby enabling them to meet the competitive market demands and end-user requirements. Blockchain technology gained its popularity after the massive success of Bitcoin, of which it constitutes the backbone technology. While blockchain is still emerging and finding its foothold across domains, Cloud computing is comparatively well defined and established. Organizations such as Amazon, IBM, Google, and Microsoft have extensively invested in Cloud and continue to provide a plethora of related services to a wide range of customers. The pay-per-use policy and easy access to resources are some of the biggest advantages of Cloud, but it continues to face challenges like data security, compliance, interoperability, and data management. In this article, we present the advantages of integrating Cloud and blockchain technology along with applications of Blockchain-as-a-Service. The article presents itself with a detailed survey illustrating recent works combining the amalgamation of both technologies. The survey also talks about blockchain–cloud services being offered by existing Cloud Service providers. Full article
(This article belongs to the Special Issue Secure IoT, Edge and Cloud Systems)
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