Version 1
: Received: 29 September 2022 / Approved: 5 October 2022 / Online: 5 October 2022 (04:04:40 CEST)
How to cite:
Kyosev, D.; Anastasovski, D.; Kikovic, M.; Voutyras, O. Terra Luna and the Future of Internet Investments: Towards a Framework for Investors’ Protections. Preprints2022, 2022100027. https://doi.org/10.20944/preprints202210.0027.v1
Kyosev, D.; Anastasovski, D.; Kikovic, M.; Voutyras, O. Terra Luna and the Future of Internet Investments: Towards a Framework for Investors’ Protections. Preprints 2022, 2022100027. https://doi.org/10.20944/preprints202210.0027.v1
Kyosev, D.; Anastasovski, D.; Kikovic, M.; Voutyras, O. Terra Luna and the Future of Internet Investments: Towards a Framework for Investors’ Protections. Preprints2022, 2022100027. https://doi.org/10.20944/preprints202210.0027.v1
APA Style
Kyosev, D., Anastasovski, D., Kikovic, M., & Voutyras, O. (2022). Terra Luna and the Future of Internet Investments: Towards a Framework for Investors’ Protections. Preprints. https://doi.org/10.20944/preprints202210.0027.v1
Chicago/Turabian Style
Kyosev, D., Mirko Kikovic and Orfefs Voutyras. 2022 "Terra Luna and the Future of Internet Investments: Towards a Framework for Investors’ Protections" Preprints. https://doi.org/10.20944/preprints202210.0027.v1
Abstract
This article presents the results of a cross-disciplinary applied study exploring investors’ protections in the context of distributed ledger technology (DLT) smart contracts. Fusing legal, business, and technical perspectives, we developed a framework for protection from non-commercial risks for stablecoins, taking advantage of DLT and AI. A key concept we propose is the monitoring of disinformation and fake news to prevent malicious parties from abusing our solution. Based on the similarities between central bank digital currencies (CBDCs) and stablecoins, we propose scaling up our results to all future internet investments performed without face-to-face contact between the investor and the company.
Computer Science and Mathematics, Computer Science
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.