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Special Issue "Security and Information Flow in Intelligent Systems for the Internet of Things"

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

Deadline for manuscript submissions: 31 August 2021.

Special Issue Editors

Dr. Dawid Połap
E-Mail Website
Guest Editor
Faculty of Applied Mathematics, Silesian University of Technology, 44-100 Gliwice, Poland
Interests: machine learning; multiagent systems; bioinformatics; Internet of Things
Special Issues and Collections in MDPI journals
Prof. Dr. Gautam Srivastava
E-Mail Website
Guest Editor
Department of Mathematics and Computer Science, Brandon University, Brandon, MB R7A 6A9, Canada
Interests: blockchain technology; cryptography; big data; data mining; social networks; security and privacy; anonymity; graphs
Special Issues and Collections in MDPI journals
Dr. Marta Wlodarczyk-Sielicka
E-Mail Website
Guest Editor
Maritime University of Szczecin, Waly Chrobrego 1-2, 70-500 Szczecin, Poland
Interests: geodata processing; 3D modelling; hydrography; bathymetric data; mapping; data reduction; spatial big data; geoinformation; spatial analyst; navigation; geo-processing; clustering; artificial neural network; remote sensing, algorithms; deep learning; data fusion, sea bottom modelling; classification; data acquisition; geospatial science; geomatics
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

Extensive development of IT systems and sensors that can acquire knowledge must be secured during data flow, as well as during storage. Secure information in various types of devices and sensors allows for safe decision making by artificial intelligence algorithms. The transmitted data and their analysis are important from a technical point of view of the sensors in the devices. In many cases, collected data from the environment must be quickly processed and stored for long-lasting training processes of artificial intelligence. This Special Issue focuses on the operation of sensors on the Internet of Things, with particular emphasis on their storage, processing, and protection when sending or sharing information.

Intelligent systems for the Internet of Things are based on sensors that acquire knowledge from environment. The main idea behind this Special Issue is to take up the topic of security and information processing of data obtained by these sensors, which are used in solutions in intelligent homes/cities or even in the Internet of Medical Things.

Dr. Dawid Połap
Dr. Guatam Srivastava
Dr. Marta Włodarczyk-Sielicka
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 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. 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 2200 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

  • biomedical sensors
  • big data
  • Internet of Things
  • machine learning
  • multiagent systems
  • augmented/virtual/mixed reality

Published Papers (2 papers)

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Research

Open AccessArticle
A Possible World-Based Fusion Estimation Model for Uncertain Data Clustering in WBNs
Sensors 2021, 21(3), 875; https://doi.org/10.3390/s21030875 - 28 Jan 2021
Cited by 1 | Viewed by 284
Abstract
In data clustering, the measured data are usually regarded as uncertain data. As a probability-based clustering technique, possible world can easily cluster the uncertain data. However, the method of possible world needs to satisfy two conditions: determine the data of different possible worlds [...] Read more.
In data clustering, the measured data are usually regarded as uncertain data. As a probability-based clustering technique, possible world can easily cluster the uncertain data. However, the method of possible world needs to satisfy two conditions: determine the data of different possible worlds and determine the corresponding probability of occurrence. The existing methods mostly make multiple measurements and treat each measurement as deterministic data of a possible world. In this paper, a possible world-based fusion estimation model is proposed, which changes the deterministic data into probability distribution according to the estimation algorithm, and the corresponding probability can be confirmed naturally. Further, in the clustering stage, the Kullback–Leibler divergence is introduced to describe the relationships of probability distributions among different possible worlds. Then, an application in wearable body networks (WBNs) is given, and some interesting conclusions are shown. Finally, simulations show better performance when the relationships between features in measured data are more complex. Full article
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Open AccessArticle
Determinism in Cyber-Physical Systems Specified by Interpreted Petri Nets
Sensors 2020, 20(19), 5565; https://doi.org/10.3390/s20195565 - 28 Sep 2020
Cited by 3 | Viewed by 566
Abstract
In this paper, we study selected aspects of determinism in the control part of a cyber-physical system (CPS) that is specified by a Petri net-based model. In particular, the control interpreted Petri nets (CIPNs) are applied, which are an extension of the ordinary [...] Read more.
In this paper, we study selected aspects of determinism in the control part of a cyber-physical system (CPS) that is specified by a Petri net-based model. In particular, the control interpreted Petri nets (CIPNs) are applied, which are an extension of the ordinary Petri nets, supplemented by signals (related to sensors and actuators) that permit communication with the environment. The notions of weak and strong determinism in a system described by a CIPN are introduced in the paper. The proposed concepts are supported by formal definitions and theorems. Moreover, a novel modelling methodology for a deterministic system specified by a CIPN is proposed. The presented solutions are illustrated by a case study example of a real-life cyber-physical system. Finally, the results of experimental verification of the proposed determinism-based techniques are demonstrated and discussed. Full article
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