Special Issue "New Advances and Challenges in Communication Networks"

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: 31 October 2022 | Viewed by 3547

Special Issue Editors

Dr. Ivan Cvitić
E-Mail Website
Guest Editor
Faculty of Transport and Traffic Sciences, University of Zagreb, 10000 Zagreb, Croatia
Interests: cybersecurity; distributed denial of service (DDoS) attacks; Artificial Intelligence; intrusion detection and protection; internet of things; digital forensics; applied machine learning
Prof. Dr. Dragan Peraković
E-Mail Website
Guest Editor
Department of Information and Communication Traffic, Faculty of Transport and Traffic Sciences, University of Zagreb, 10000 Zagreb, Croatia
Interests: innovative communication ecosystem; digital forensic; communication security; Industry 4.0; machine learning; AI
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Anca Delia Jurcut
E-Mail Website
Guest Editor
School of Computer Science, University College Dublin, Dublin 4, Ireland
Interests: security protocols design and analysis; network security; attack detection and prevention; automated techniques for formal verification; security for internet of things; application of blockchain for information security
Prof. Dr. Goran Marković
E-Mail Website
Guest Editor
Faculty of Transport and Traffic Engineering, Department of Telecommunication Traffic and Networks, University of Belgrade, 11000 Belgrade, Serbia
Interests: routing in communication networks; AI in telecommunications; optical networking;tele-traffic engineering; telecommunication networking for ITS applications

Special Issue Information

Dear Colleagues,

Communication networks represent the foundation of today's digital service delivery for various users over the world. New digital services and user requirements resulted in the fast development of communication networks and the emergence of new concepts and improvements of existing technologies. How did the coronavirus pandemic affect the use and development of communication networks, what are the possibilities of using artificial intelligence and machine learning in planning, managing, and securing communication networks, and what are the potential of quantum communications? What new challenges are communication networks facing regarding cybersecurity, quality of services, speeds, and capacities impacted by IoT devices?  We are planning to unite those, and other, research questions related to communication networks in this Special Issues entitled “New advances and challenges in communication networks”.

This Special Issue calls for papers presenting novel works regarding planning, development, optimizing, simulating, and securing communication networks. Furthermore, high-quality review and survey papers are welcomed. The papers considered for possible publication may focus on, but are not necessarily limited to, the following areas:

Keywords

  • Cybersecurity, Networks' Attack Detection and Prevention, and Digital forensics
  • Critical services communication
  • Quality of service/experience
  • Quantum communications
  • Predictions and classifications in network communications
  • Application of ML and AI in network communication
  • Innovative information and communication services
  • Security Protocols Design and Analysis and Formal  Verification 
  • Optimization of communication networks
  • Advanced technologies and techniques in optical networking
  • Network and traffic engineering in communication networks

Dr. Ivan Cvitić
Prof. Dr. Dragan Peraković
Prof. Dr. Anca Delia Jurcut
Prof. Dr. Goran Marković
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. Electronics 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 2000 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

  • Cybersecurity, Networks' Attack Detection and Prevention, and Digital forensics
  • Critical services communication
  • Quality of service/experience
  • Quantum communications
  • Predictions and classifications in network communications
  • Application of ML and AI in network communication
  • Innovative information and communication services
  • Security Protocols Design and Analysis and Formal Verification
  • Optimization of communication networks
  • Advanced technologies and techniques in optical networking
  • Network and traffic engineering in communication networks

Published Papers (2 papers)

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Research

Article
High Performance Classification Model to Identify Ransomware Payments for Heterogeneous Bitcoin Networks
Electronics 2021, 10(17), 2113; https://doi.org/10.3390/electronics10172113 - 31 Aug 2021
Cited by 5 | Viewed by 1224
Abstract
The Bitcoin cryptocurrency is a worldwide prevalent virtualized digital currency conceptualized in 2008 as a distributed transactions system. Bitcoin transactions make use of peer-to-peer network nodes without a third-party intermediary, and the transactions can be verified by the node. Although Bitcoin networks have [...] Read more.
The Bitcoin cryptocurrency is a worldwide prevalent virtualized digital currency conceptualized in 2008 as a distributed transactions system. Bitcoin transactions make use of peer-to-peer network nodes without a third-party intermediary, and the transactions can be verified by the node. Although Bitcoin networks have exhibited high efficiency in the financial transaction systems, their payment transactions are vulnerable to several ransomware attacks. For that reason, investigators have been working on developing ransomware payment identification techniques for bitcoin transactions’ networks to prevent such harmful cyberattacks. In this paper, we propose a high performance Bitcoin transaction predictive system that investigates the Bitcoin payment transactions to learn data patterns that can recognize and classify ransomware payments for heterogeneous bitcoin networks. Specifically, our system makes use of two supervised machine learning methods to learn the distinguishing patterns in Bitcoin payment transactions, namely, shallow neural networks (SNN) and optimizable decision trees (ODT). To validate the effectiveness of our solution approach, we evaluate our machine learning based predictive models on a recent Bitcoin transactions dataset in terms of classification accuracy as a key performance indicator and other key evaluation metrics such as the confusion matrix, positive predictive value, true positive rate, and the corresponding prediction errors. As a result, our superlative experimental result was registered to the model-based decision trees scoring 99.9% and 99.4% classification detection (two-class classifier) and accuracy (multiclass classifier), respectively. Hence, the obtained model accuracy results are superior as they surpassed many state-of-the-art models developed to identify ransomware payments in bitcoin transactions. Full article
(This article belongs to the Special Issue New Advances and Challenges in Communication Networks)
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Article
Derogation of Physical Layer Security Breaches in Maturing Heterogeneous Optical Networks
Electronics 2021, 10(16), 2021; https://doi.org/10.3390/electronics10162021 - 21 Aug 2021
Viewed by 536
Abstract
The evolution journey of optical network (ON) towards heterogeneous and flexible frameworks with high order of applications is continued from the last decade. Furthermore, the prominence of optical security, amount of transmitted data, bandwidth, and dependable presentation are heightened. The performance of ON [...] Read more.
The evolution journey of optical network (ON) towards heterogeneous and flexible frameworks with high order of applications is continued from the last decade. Furthermore, the prominence of optical security, amount of transmitted data, bandwidth, and dependable presentation are heightened. The performance of ON is degraded in view of various natures of attacks at the physical layer, such as service disrupting and access to carrier data. In order to deal with such security breaches, new and efficient ON must be identified. So, this paper elaborates a detailed structure on physical layer security for heterogeneous ON. Possible mechanisms, such as Elliptic-curve Diffie–Hellman (ECDH), are used to treat a physical layer attack, and an efficient framework is proposed in this paper for 64 quadrature amplitude modulation-based orthogonal frequency division multiplex (64QAM-OFDM) ONs. Finally, theoretical and simulation validations are presented, and the effective results of the proposed method and viewpoint are concluded. Full article
(This article belongs to the Special Issue New Advances and Challenges in Communication Networks)
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