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Journal Central

@article{ART002998423},
author={Won-Bin Kim and ChangHyun Roh and YongJoon Joe and Shin DongMyung},
title={Data redundancy determination technology to determine the similarity of n-th creations of digital assets used in the metaverse environment},
journal={Journal of Software Assessment and Valuation},
issn={2092-8114},
year={2023},
volume={19},
number={3},
pages={45-54},
doi={10.29056/jsav.2023.09.05}

TY - JOUR
AU - Won-Bin Kim
AU - ChangHyun Roh
AU - YongJoon Joe
AU - Shin DongMyung
TI - Data redundancy determination technology to determine the similarity of n-th creations of digital assets used in the metaverse environment
JO - Journal of Software Assessment and Valuation
PY - 2023
VL - 19
IS - 3
PB - Korea Software Assessment and Valuation Society
SP - 45
EP - 54
SN - 2092-8114
AB - In recent times, with the rapid proliferation of the metaverse environment, there has been a notable upswing in instances of performance within virtual realms, capitalizing on the inherent characteristics of this environment. These performances, conducted within virtual settings, are commonly referred to as virtual performances. The distinctive advantage of these virtual performances lies in their unrestricted accessibility, transcending the spatial confines of the physical world. As such, they are emerging as a viable substitution for overseas concerts that might be impeded by spatial constraints brought about by infectious disease pandemics or geographical remoteness. These virtual performances integrate a myriad of digital components, termed digital assets, to coalesce into a singular content. Consequently, the inherent trait of digital data, characterized by its ease of duplication and reuse, can be directly leveraged. Nevertheless, there is a concurrent rise in instances of copyright infringement, stemming from the unauthorized replication, reuse, and manipulation of these features. In this study, we propose technologies centered around redundancy and similarity determination for digital data, aiming to address these issues. This technology is employed to ascertain whether a given dataset corresponds to a previously registered digital asset or if it has undergone partial modifications when an author endeavors to register a new digital asset within the digital asset market. Through this, this study blocks digital asset data, divides it into several pieces, and determines the redundancy and similarity of digital assets by analyzing whether the blocks match existing registered digital assets. Through this, it is possible to prevent unauthorized registration of digital assets that have been copied or modified by rights infringers in advance.
KW - Metaverse;Virtual Performance;Digital Assets;Data Redundancy Determination;n-th Creation
DO - 10.29056/jsav.2023.09.05
ER -

Won-Bin Kim, ChangHyun Roh, YongJoon Joe and Shin DongMyung. (2023). Data redundancy determination technology to determine the similarity of n-th creations of digital assets used in the metaverse environment. Journal of Software Assessment and Valuation, 19(3), 45-54.

Won-Bin Kim, ChangHyun Roh, YongJoon Joe and Shin DongMyung. 2023, "Data redundancy determination technology to determine the similarity of n-th creations of digital assets used in the metaverse environment", Journal of Software Assessment and Valuation, vol.19, no.3 pp.45-54. Available from: doi:10.29056/jsav.2023.09.05

Won-Bin Kim, ChangHyun Roh, YongJoon Joe, Shin DongMyung "Data redundancy determination technology to determine the similarity of n-th creations of digital assets used in the metaverse environment" Journal of Software Assessment and Valuation 19.3 pp.45-54 (2023) : 45.

Won-Bin Kim, ChangHyun Roh, YongJoon Joe, Shin DongMyung. Data redundancy determination technology to determine the similarity of n-th creations of digital assets used in the metaverse environment. 2023; 19(3), 45-54. Available from: doi:10.29056/jsav.2023.09.05

Won-Bin Kim, ChangHyun Roh, YongJoon Joe and Shin DongMyung. "Data redundancy determination technology to determine the similarity of n-th creations of digital assets used in the metaverse environment" Journal of Software Assessment and Valuation 19, no.3 (2023) : 45-54.doi: 10.29056/jsav.2023.09.05

Won-Bin Kim; ChangHyun Roh; YongJoon Joe; Shin DongMyung. Data redundancy determination technology to determine the similarity of n-th creations of digital assets used in the metaverse environment. Journal of Software Assessment and Valuation, 19(3), 45-54. doi: 10.29056/jsav.2023.09.05

Won-Bin Kim; ChangHyun Roh; YongJoon Joe; Shin DongMyung. Data redundancy determination technology to determine the similarity of n-th creations of digital assets used in the metaverse environment. Journal of Software Assessment and Valuation. 2023; 19(3) 45-54. doi: 10.29056/jsav.2023.09.05

Won-Bin Kim, ChangHyun Roh, YongJoon Joe, Shin DongMyung. Data redundancy determination technology to determine the similarity of n-th creations of digital assets used in the metaverse environment. 2023; 19(3), 45-54. Available from: doi:10.29056/jsav.2023.09.05

Won-Bin Kim, ChangHyun Roh, YongJoon Joe and Shin DongMyung. "Data redundancy determination technology to determine the similarity of n-th creations of digital assets used in the metaverse environment" Journal of Software Assessment and Valuation 19, no.3 (2023) : 45-54.doi: 10.29056/jsav.2023.09.05