Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Other literature type . 2025
License: CC BY
Data sources: ZENODO
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
https://doi.org/10.1109/dcoss-...
Article . 2023 . Peer-reviewed
License: STM Policy #29
Data sources: Crossref
ZENODO
Other literature type . 2025
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2025
License: CC BY
Data sources: Datacite
DBLP
Conference object
Data sources: DBLP
versions View all 5 versions
addClaim

Trusted Virtual Reality Environment for Training Security Officers

Authors: Pantazidis, Anastasios; Gazis, Alexandros; SOLDATOS, IOANNIS; Touloupou, Marios; Kapassa, Evgenia; Karagiorgou, Sophia;

Trusted Virtual Reality Environment for Training Security Officers

Abstract

Virtual Reality (VR) applications are increasingly used to support ergonomic and safe training activities, including serious games for security training. Nevertheless, they do not exploit opportunities for trusted and secure management of digital assets, which are typically offered by the blockchain infrastructures of emerging metaverse environments. This paper introduces a novel interactive and realistic VR-based serious game for training law enforcement officers in the analysis and understanding of terroristic activities. The game is driven by pragmatic models of terroristic actions and teaches its users how to predict and anticipate indicators of terroristic attacks. It also provides the means for generating datasets to train AI modules that could help analyzing and predicting potentially terroristic activities. Moreover, the paper provides an outlook for the evolution of the game in metaverse environments, where blockchain infrastructures can be used to boost the cyber-resilience of the game and to safeguard the trustworthiness of the data generation process.

Related Organizations
Keywords

blockchain, metaverse, law enforcement, Virtual Reality, security, serious game

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    3
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Top 10%
Average
Average
Green