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Peer Reviews (215)

Published on in Vol 3, No 2 (2022): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38581, first published .
Peer Review of “Toward Human Digital Twins for Cybersecurity Simulations on the Metaverse: Ontological and Network Science Approach”

Peer Review of “Toward Human Digital Twins for Cybersecurity Simulations on the Metaverse: Ontological and Network Science Approach”

Peer Review of “Toward Human Digital Twins for Cybersecurity Simulations on the Metaverse: Ontological and Network Science Approach”

Authors of this article:

Daniel Ayo Oladele1 Author Orcid Image
Article Authors Cited by Tweetations (2) Metrics

    Peer-Review Report


    This is a peer-review report submitted for the paper “Toward Human Digital Twins for Cybersecurity Simulations on the Metaverse: Ontological and Network Science Approach.”


    General Comments

    This paper [1] proposes a Cybonto conceptual framework for cybersecurity. It highlights the possibility of using human cognitive digital twin and digital twin systems for proactive cybersecurity strategies.

    The paper was well written, the problem was clearly stated, the conceptual framework was well explained, and the author demonstrates an in-depth knowledge of cybersecurity ontologies, human cognitive digital twins, and behavioral or cognitive theories.

    Looking forward to seeing the future works on this study.

    Conflicts of Interest

    None declared.

    1. Nguyen TN. Toward Human Digital Twins for Cybersecurity Simulations on the Metaverse: Ontological and Network Science Approach. JMIRx Med 2022;3(2):e33502 [FREE Full text]

    Edited by E Meinert; This is a non–peer-reviewed article. submitted 07.04.22; accepted 07.04.22; published 20.04.22

    Copyright

    ©Daniel Ayo Oladele. Originally published in JMIRx Med (https://med.jmirx.org), 20.04.2022.

    This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIRx Med, is properly cited. The complete bibliographic information, a link to the original publication on https://med.jmirx.org/, as well as this copyright and license information must be included.