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Sensors
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Decentralized Systems for Secure and Interoperable IoT Applications
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Decentralized Systems for Secure and Interoperable IoT Applications

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

Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 8914

Special Issue Editors

Dr. Nikos Fotiou

E-Mail Website
Guest Editor
Mobile Multimedia Laboratory, Department of Informatics, School of Information Sciences and Technology, Athens University of Economics and Business, 104 34 Athens, Greece
Interests: access control; blockchain technologies; cryptography; information-centric networking; IoT; privacy; security; web technologies
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. George C. Polyzos

E-Mail Website
Guest Editor
Athens University of Economics and Business, Athens, Greece
Interests: computer networks; wireless communications; multimedia; security

Special Issue Information

Dear Colleagues,

Internet of Things (IoT) applications are now being used in many aspects of our life. Nevertheless, they are organized in vertical, isolated, silos. Interconnecting them is a challenging problem since there are many issues that should be overcome, including a lack of appropriate communication protocols, security and privacy concerns, lack of semantics interoperability, barriers imposed by business structures, and many others. Although there are some solutions available, they usually assume a powerful, centralized, trusted entity, which becomes a gatekeeper of valuable and sensitive data, creating at the same time lock-in conditions. On the other hand, many promising solutions have emerged that may provide a viable approach of securely inter-connecting IoT systems, without relying on trusted third parties. Such solutions, including the blockchain technology, decentralized identifiers systems, authorization delegation protocols, and semantics representation languages, among others, are receiving increasing attention from the research community and the industry, and they have created big expectations.

This Special Issue will demonstrate how decentralized solutions can be used for achieving real, interoperable, and secure IoT.

Keywords

  • Distributed ledger technologies and smart contracts for the IoT
  • Web of things
  • Differential privacy
  • Decentralized access control
  • Decentralized identifiers and verifiable credentials
  • Secure IoT management
  • Secure IoT actuation
  • Security/interoperability systems for autonomous/unmanned vehicles
  • Security/interoperability solutions for cyber-physical systems
  • Security and interoperability of smart grid, smart home, and smart agriculture systems

Dr. Nikos Fotiou
Prof. Dr. George C. Polyzos
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.

Published Papers (3 papers)

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Research

23 pages, 6608 KiB  
Article
Block-HPCT: Blockchain Enabled Digital Health Passports and Contact Tracing of Infectious Diseases like COVID-19
by Md Mamunur Rashid, Piljoo Choi, Suk-Hwan Lee and Ki-Ryong Kwon
Sensors 2022, 22(11), 4256; https://doi.org/10.3390/s22114256 - 02 Jun 2022
Cited by 12 | Viewed by 3709
Abstract
Due to its significant global impact, both domestic and international efforts are underway to cure the infection and stop the COVID-19 virus from spreading further. In resource-limited environments, overwhelmed healthcare institutions and surveillance systems are struggling to cope with this epidemic, necessitating a [...] Read more.
Due to its significant global impact, both domestic and international efforts are underway to cure the infection and stop the COVID-19 virus from spreading further. In resource-limited environments, overwhelmed healthcare institutions and surveillance systems are struggling to cope with this epidemic, necessitating a specific strategic response. In this study, we looked into the COVID-19 situation and to establish trust, accountability, and transparency, we employed blockchain’s immutable and tamper-proof properties. We offered a smart contract (SC)-based solution (Block-HPCT) that has been successfully tested to preserve a digital health passport (DHP) for vaccine recipients; also, for contact tracing (CT) we employed proof of location concept, which aids in a swift and credible response directly from the appropriate healthcare authorities. To connect on-chain and off-chain data, trusted and registered oracles were integrated and to provide a double layer of security along with symmetric key encryption; both Interplanetary File System (IPFS) and Hyperledger Fabric were merged as storage center. We also provided a full description of the suggested solution’s system design, implementation, experiment results, and evaluation (privacy and cost analysis). As per the findings, the suggested approach performed satisfactorily across all significant assessment criteria, implying that it can lead the way for practical implementations and also can be used for similar types of situations where contact tracing of infectious can be crucial. Full article
(This article belongs to the Special Issue Decentralized Systems for Secure and Interoperable IoT Applications)
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18 pages, 810 KiB  
Article
Bayesian Nonparametric Modeling for Predicting Dynamic Dependencies in Multiple Object Tracking
by Bahman Moraffah and Antonia Papandreou-Suppappola
Sensors 2022, 22(1), 388; https://doi.org/10.3390/s22010388 - 05 Jan 2022
Cited by 3 | Viewed by 1872
Abstract
The paper considers the problem of tracking an unknown and time-varying number of unlabeled moving objects using multiple unordered measurements with unknown association to the objects. The proposed tracking approach integrates Bayesian nonparametric modeling with Markov chain Monte Carlo methods to estimate the [...] Read more.
The paper considers the problem of tracking an unknown and time-varying number of unlabeled moving objects using multiple unordered measurements with unknown association to the objects. The proposed tracking approach integrates Bayesian nonparametric modeling with Markov chain Monte Carlo methods to estimate the parameters of each object when present in the tracking scene. In particular, we adopt the dependent Dirichlet process (DDP) to learn the multiple object state prior by exploiting inherent dynamic dependencies in the state transition using the dynamic clustering property of the DDP. Using the DDP to draw the mixing measures, Dirichlet process mixtures are used to learn and assign each measurement to its associated object identity. The Bayesian posterior to estimate the target trajectories is efficiently implemented using a Gibbs sampler inference scheme. A second tracking approach is proposed that replaces the DDP with the dependent Pitman–Yor process in order to allow for a higher flexibility in clustering. The improved tracking performance of the new approaches is demonstrated by comparison to the generalized labeled multi-Bernoulli filter. Full article
(This article belongs to the Special Issue Decentralized Systems for Secure and Interoperable IoT Applications)
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20 pages, 664 KiB  
Article
The Stream Exchange Protocol: A Secure and Lightweight Tool for Decentralized Connection Establishment
by Stefan Tatschner, Ferdinand Jarisch, Alexander Giehl, Sven Plaga and Thomas Newe
Sensors 2021, 21(15), 4969; https://doi.org/10.3390/s21154969 - 21 Jul 2021
Cited by 1 | Viewed by 2371
Abstract
With the growing availability and prevalence of internet-capable devices, the complexity of networks and associated connection management increases. Depending on the use case, different approaches in handling connectivity have emerged over the years, tackling diverse challenges in each distinct area. Exposing centralized web-services [...] Read more.
With the growing availability and prevalence of internet-capable devices, the complexity of networks and associated connection management increases. Depending on the use case, different approaches in handling connectivity have emerged over the years, tackling diverse challenges in each distinct area. Exposing centralized web-services facilitates reachability; distributing information in a peer-to-peer fashion offers availability; and segregating virtual private sub-networks promotes confidentiality. A common challenge herein lies in connection establishment, particularly in discovering, and securely connecting to peers. However, unifying different aspects, including the usability, scalability, and security of this process in a single framework, remains a challenge. In this paper, we present the Stream Exchange Protocol (SEP) collection, which provides a set of building blocks for secure, lightweight, and decentralized connection establishment. These building blocks use unique identities that enable both the identification and authentication of single communication partners. By utilizing federated directories as decentralized databases, peers are able to reliably share authentic data, such as current network locations and available endpoints. Overall, this collection of building blocks is universally applicable, easy to use, and protected by state-of-the-art security mechanisms by design. We demonstrate the capabilities and versatility of the SEP collection by providing three tools that utilize our building blocks: a decentralized file sharing application, a point-to-point network tunnel using the SEP trust model, and an application that utilizes our decentralized discovery mechanism for authentic and asynchronous data distribution. Full article
(This article belongs to the Special Issue Decentralized Systems for Secure and Interoperable IoT Applications)
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