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Élément Dublin Core | Valeur | Langue |
---|---|---|
dc.contributor.author | ZEGAI, Houari | - |
dc.contributor.author | CHARFAOUI, Younes | - |
dc.date.accessioned | 2022-11-21T10:06:17Z | - |
dc.date.available | 2022-11-21T10:06:17Z | - |
dc.date.issued | 2020 | - |
dc.identifier.uri | http://dspace.univ-tiaret.dz:80/handle/123456789/5345 | - |
dc.description.abstract | An electronic payment system helps a customer make a payment to a retailer or service provider electronically. Payment gateways, a portal between consumers and payment processors, use different authentication methods during online payment to secure a customer’s payment details, typically debit or credit card information. However, since a merchant already can access the payment information in any manner, the encryption offered by a payment gateway can not fully secure the client’s payment details. Not all merchants provide their customers with a safe payment system and stick to it while maintaining a standard payment policy. This also opens the payment information received by a customer to the possibility of being hacked or misused by retailers or stolen by hackers or spammers. In this work, we present a stable solution to payment processes in which payment information about a customer is secured. Upon authentication of the transaction, a client sends his contact details and authorization directly to a payment gateway submitting an invoice to the correct seller. Our research’s fundamental goal is part of the modernization of payment systems in Algeria. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Université Ibn Khaldoun -Tiaret- | en_US |
dc.subject | Strong two-factor authentication, Prime numbers, Random number generation, Distribution of cryptographic keys and electronic certificates, RSA cryptography, Elliptic Curve Cryptography. | en_US |
dc.title | RSA SecurID Token Compatible Random Number Generation For Android and 3D Secure | en_US |
dc.type | Thesis | en_US |
Collection(s) : | Master |
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Fichier | Description | Taille | Format | |
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TH.M.INF.FR.2020.04.pdf | 3,59 MB | Adobe PDF | Voir/Ouvrir |
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