Special Issue "Artificial Intelligence and Emerging Technologies"

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: 28 February 2021.

Special Issue Editors

Prof. Dr. Vassilis Charissis
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Guest Editor
School of Computing, Engineering and Built Environment, Glasgow Caledonian University, Glasgow G4 0BA, UK
Interests: human-computer interaction; virtual/augmented reality; artificial intelligence; simulation systems
Special Issues and Collections in MDPI journals
Prof. Dr. Dimitris Drikakis
Website
Guest Editor
Defence and Security Research Institute, University of Nicosia, 46 Makedonitissas Avenue, CY-2417, Cyprus
Interests: computational fluid dynamics; machine learning; computational intelligence; fluid mechanics; acoustics; heat transfer; turbulence; micro/nano scale modelling; virtual reality
Special Issues and Collections in MDPI journals
Dr. Talib Dbouk

Guest Editor
Defence and Security Research Institute, University of Nicosia, 46 Makedonitissas Avenue, CY-2417, Cyprus
Interests: Computational physics; optimization; modelling and simulation; complex fluids; rheology; deep neural networks; AI; CFD and heat transfer

Special Issue Information

Dear Colleagues,

The current pandemic has reduced and, in some cases, diminished human activities and interactions, at a personal, city, country, and continental level. At the same time, it highlighted significant flaws in the current usage of technologies and shortcomings that have crippled the infrastructure of major organisations and countries. Similar issues might re-occur in the future, due to other pandemics and/or natural disasters. This Special Issue will present current research and applications in emerging fields that combine Artificial Intelligence with Virtual and Augmented Reality, Big Data, IoT, Physics-Based Machine Learning, major event prediction models and simulation scenarios, amongst other computational and emerging technologies, which could contribute to preventing small or large scale calamities and maintaining the everyday way of life.

Prof. Dr. Vassilis Charissis
Prof. Dr. Dimitris Drikakis
Dr. Talib Dbouk
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. 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.

Keywords

  • Digital Twins (smart cities, engineering, medicine)
  • Computational Modelling and Simulation
  • Sensors, monitoring and simulation
  • Artificial Intelligence and Physics-based Machine Learning
  • Major events’ prediction models and simulation scenarios
  • Big data for urban informatics
  • e-Health applications (Web, VR, AR)
  • e-Commerce and e-Business (Web, VR, AR)
  • e-Learning (Web, VR, AR)
  • Sensing and IoT for urban environments (smart cities)
  • Social computing and networks
  • Ubiquitous Computing
  • AI and wearable computing
  • Vehicular networks
  • Autonomous Vehicles (AVs, UAVs)
  • Human mobility modelling
  • Multi-Agent Systems and Artificial Intelligence
  • Mobile crowdsourcing for urban analytics
  • Collective Intelligence
  • Intelligent Web Applications

Published Papers (1 paper)

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Review

Open AccessReview
Security Aspects for Rpl-Based Protocols: A Systematic Review in IoT
Appl. Sci. 2020, 10(18), 6472; https://doi.org/10.3390/app10186472 - 17 Sep 2020
Abstract
The Internet of things (IoT) is a concept that has gained traction over the last decade. IoT networks have evolved around the wireless sensor network (WSN), and the following research looks at relevant IoT concepts and the different security issues that occur specifically [...] Read more.
The Internet of things (IoT) is a concept that has gained traction over the last decade. IoT networks have evolved around the wireless sensor network (WSN), and the following research looks at relevant IoT concepts and the different security issues that occur specifically at the network layer. This analysis is performed using a structured literature review (SLR). This form of bibliographic review has been a trend in recent years. Its strength is the performance of a bibliometric analysis that allows studying both trends in the line of research that you want to address and the relevant authors. This SLR reviews 53 proposals between 2011 and 2020, whose contribution is to mitigate attacks in the RPL (Routing Protocol for Low-Power and Lossy Networks) protocol. The revised proposals emerged after selecting keywords and databases in which to apply the search. Initially, approximately 380 research works appeared, for which it was necessary to continue using filters to refine the proposals to be included. After reading titles and abstracts, 53 papers were finally selected. In addition to analyzing the attacks mitigated in the RPL protocol, it is intended to identify the trend by which these attacks are reduced, as a result of the review, nine attacks have been found: rank, blackhole, selective forwarding, wormhole, DODAG (Destination-Oriented Directed Acyclic Graph) version number, DAO (Destination Advertisement Object) inconsistency, DIO (DODAG Information Object) suppression, Sybil, and sinkhole. Each of the 53 proposals analyzed in this review has an associated mitigation strategy, these strategies have been categorized into four groups, based on authentication or cryptography, based on network monitoring, based on secure parent node selection and other. According to the results, the authors’ primary mitigation strategy is based on network monitoring, with 30%. This review also identifies the principal authors and countries that need the development of this line of research. Full article
(This article belongs to the Special Issue Artificial Intelligence and Emerging Technologies)
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