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ZENODO
Article . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
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Securing the User Registration Process in an IP Telephony System Using Blockchain and KYC Technologies

Authors: Sekoude Jehovah-Nis Pedrie SONON; Tahirou DJARA; Abdou Wahidi BELLO; Matine OUSMANE;

Securing the User Registration Process in an IP Telephony System Using Blockchain and KYC Technologies

Abstract

Abstract In this article, we develop a solution for securing IP telephony networks. The solution developed is based on revolutionary blockchain technology and uses KYC, facial recognition and OTP techniques to secure the various levels of user interaction with the ToIP network (enrolment, authentication, communication session, post-communication session). A comparative study, based on the Ethereum and Hyperledger Fabric blockchains, enabled us to select Hyperledger Fabric as the development framework for our blockchain. The criteria justifying our choice are essentially: the modularity of the architecture, the variety of programming languages for smarts contracts, the possibility of creating private channels between network members, high access control and data confidentiality, as well as a flexible consensus model. These criteria are crucial, as they guarantee both the robustness and flexibility of the network in a shared communication data context. To guarantee data confidentiality, access rights management and transaction speed, we opted for a private blockchain developed under the Hyperledger Fabric framework.

Related Organizations
Keywords

Blockchain, Hyperledger fabric, IP telephony, KYC, Security, Voice over IP

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    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).
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    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.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
0
Average
Average
Average
Green