ACR-MLM: a privacy-preserving framework for anonymous and confidential rewarding in blockchain-based multi-level marketing
Network marketing is a trading technique that provides companies with the opportunity to increase sales. With the increasing number of Internet-based purchases, several threats are increasingly observed in this field, such as user privacy violations, company owner (CO) fraud, the changing of sold pr...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co. Ltd.
2022-12-01
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| Series: | Data Science and Management |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666764922000388 |
| _version_ | 1797809107690848256 |
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| author | Saeed Banaeian Far Azadeh Imani Rad Maryam Rajabzadeh Asaar |
| author_facet | Saeed Banaeian Far Azadeh Imani Rad Maryam Rajabzadeh Asaar |
| author_sort | Saeed Banaeian Far |
| collection | DOAJ |
| description | Network marketing is a trading technique that provides companies with the opportunity to increase sales. With the increasing number of Internet-based purchases, several threats are increasingly observed in this field, such as user privacy violations, company owner (CO) fraud, the changing of sold products’ information, and the scalability of selling networks. This study presents the concept of a blockchain-based market called ACR-MLM that functions based on the multi-level marketing (MLM) model, through which registered users receive anonymous and confidential rewards for their own and their subgroups’ sales. Applying a public blockchain as the ACR-MLM framework’s infrastructure solves existing problems in MLM-based markets, such as CO fraud (against the government or its users), user privacy violations (obtaining their real names or subgroup users), and scalability (when vast numbers of users have been registered). To provide confidentiality and scalability to the ACR-MLM framework, hierarchical identity-based encryption (HIBE) was applied with a functional encryption (FE) scheme. Finally, the security of ACR-MLM is analyzed using the random oracle (RO) model and then evaluated. |
| first_indexed | 2024-03-13T06:47:38Z |
| format | Article |
| id | doaj.art-b571d38e480846ea8d09a157027f499d |
| institution | Directory Open Access Journal |
| issn | 2666-7649 |
| language | English |
| last_indexed | 2024-03-13T06:47:38Z |
| publishDate | 2022-12-01 |
| publisher | KeAi Communications Co. Ltd. |
| record_format | Article |
| series | Data Science and Management |
| spelling | doaj.art-b571d38e480846ea8d09a157027f499d2023-06-08T04:19:57ZengKeAi Communications Co. Ltd.Data Science and Management2666-76492022-12-0154219231ACR-MLM: a privacy-preserving framework for anonymous and confidential rewarding in blockchain-based multi-level marketingSaeed Banaeian Far0Azadeh Imani Rad1Maryam Rajabzadeh Asaar2Department of Electrical and Computer Engineering, Science and Research Branch Islamic Azad University, Tehran, 1477893855, Iran; Corresponding author.Department of Electrical Engineering, Yadegar -e- Imam Khomeini (rah), shahr-e-rey Branch Islamic Azad University, Tehran, 1815163111, IranDepartment of Electrical and Computer Engineering, Science and Research Branch Islamic Azad University, Tehran, 1477893855, IranNetwork marketing is a trading technique that provides companies with the opportunity to increase sales. With the increasing number of Internet-based purchases, several threats are increasingly observed in this field, such as user privacy violations, company owner (CO) fraud, the changing of sold products’ information, and the scalability of selling networks. This study presents the concept of a blockchain-based market called ACR-MLM that functions based on the multi-level marketing (MLM) model, through which registered users receive anonymous and confidential rewards for their own and their subgroups’ sales. Applying a public blockchain as the ACR-MLM framework’s infrastructure solves existing problems in MLM-based markets, such as CO fraud (against the government or its users), user privacy violations (obtaining their real names or subgroup users), and scalability (when vast numbers of users have been registered). To provide confidentiality and scalability to the ACR-MLM framework, hierarchical identity-based encryption (HIBE) was applied with a functional encryption (FE) scheme. Finally, the security of ACR-MLM is analyzed using the random oracle (RO) model and then evaluated.http://www.sciencedirect.com/science/article/pii/S2666764922000388Anonymous rewardingBlockchainFunctional encryptionMulti-level marketingPrivacy |
| spellingShingle | Saeed Banaeian Far Azadeh Imani Rad Maryam Rajabzadeh Asaar ACR-MLM: a privacy-preserving framework for anonymous and confidential rewarding in blockchain-based multi-level marketing Data Science and Management Anonymous rewarding Blockchain Functional encryption Multi-level marketing Privacy |
| title | ACR-MLM: a privacy-preserving framework for anonymous and confidential rewarding in blockchain-based multi-level marketing |
| title_full | ACR-MLM: a privacy-preserving framework for anonymous and confidential rewarding in blockchain-based multi-level marketing |
| title_fullStr | ACR-MLM: a privacy-preserving framework for anonymous and confidential rewarding in blockchain-based multi-level marketing |
| title_full_unstemmed | ACR-MLM: a privacy-preserving framework for anonymous and confidential rewarding in blockchain-based multi-level marketing |
| title_short | ACR-MLM: a privacy-preserving framework for anonymous and confidential rewarding in blockchain-based multi-level marketing |
| title_sort | acr mlm a privacy preserving framework for anonymous and confidential rewarding in blockchain based multi level marketing |
| topic | Anonymous rewarding Blockchain Functional encryption Multi-level marketing Privacy |
| url | http://www.sciencedirect.com/science/article/pii/S2666764922000388 |
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