Experience-Based Decentralized Marketing and Advertising (Ex-Mad): A Blockchain Framework for Transparent and Fair Digital Campaigns

MakaleAçık ErişimScopus SJRQ4
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Özet

The contemporary digital advertising ecosystem faces critical technical and operational challenges, primarily driven by centralized intermediaries, data opacity, and privacy vulnerabilities. To address these systemic issues, this paper proposes "Ex-Mad," a decentralized architecture leveraging blockchain technology and the Interplanetary File System (IPFS). The proposed framework integrates three core architectural layers: the user entities (advertisers and end-users), the blockchain ledger for immutable transaction recording, and IPFS for distributed content storage. Unlike traditional centralized models, Ex-Mad utilizes smart contracts to automate campaign management and enforce trustless interactions, ensuring verifiable reward distribution based on user contribution without third-party validation. Furthermore, the integration of IPFS optimizes on-chain storage costs by handling large media files off-chain while maintaining data integrity through cryptographic hashes. The system design enhances auditability through a tamper-proof ledger, eliminates single points of failure, and provides a technically robust alternative to current ad-tech intermediaries. This study demonstrates how the proposed architecture improves system efficiency, reliability, and cost-effectiveness in the digital advertising domain.

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https://rdlopen.rawdatalibrary.net/r/bayburt/10924Resmi atıflarda kullanılan kalıcı adres
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https://doi.org/10.31202/ecjse.1843205Yayıncı resmi DOI adresi
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dc.contributor.authorAyberkin, Doruk
dc.contributor.authorÖzen, Üstün
dc.date.accessioned2026-10-29T19:07:52.433877710Z
dc.date.available2026-10-29T19:07:52.433877710Z
dc.date.issued2026
dc.description.abstractThe contemporary digital advertising ecosystem faces critical technical and operational challenges, primarily driven by centralized intermediaries, data opacity, and privacy vulnerabilities. To address these systemic issues, this paper proposes "Ex-Mad," a decentralized architecture leveraging blockchain technology and the Interplanetary File System (IPFS). The proposed framework integrates three core architectural layers: the user entities (advertisers and end-users), the blockchain ledger for immutable transaction recording, and IPFS for distributed content storage. Unlike traditional centralized models, Ex-Mad utilizes smart contracts to automate campaign management and enforce trustless interactions, ensuring verifiable reward distribution based on user contribution without third-party validation. Furthermore, the integration of IPFS optimizes on-chain storage costs by handling large media files off-chain while maintaining data integrity through cryptographic hashes. The system design enhances auditability through a tamper-proof ledger, eliminates single points of failure, and provides a technically robust alternative to current ad-tech intermediaries. This study demonstrates how the proposed architecture improves system efficiency, reliability, and cost-effectiveness in the digital advertising domain.
dc.identifier.doi10.31202/ecjse.1843205
dc.identifier.endpage219
dc.identifier.issn2148-3736
dc.identifier.issue2
dc.identifier.scopus2-s2.0-105037829148
dc.identifier.startpage206
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/bayburt/10924
dc.identifier.volume13
dc.language.isoen
dc.publisherTUBITAK
dc.relation.ispartofEl-Cezeri Journal of Science and Engineering
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectBlockchain Technology
dc.subjectDigital Advertising Architecture
dc.subjectDistributed Systems
dc.subjectIPFS (Interplanetary File System)
dc.subjectSmart Contracts
dc.titleExperience-Based Decentralized Marketing and Advertising (Ex-Mad): A Blockchain Framework for Transparent and Fair Digital Campaigns
dc.typeArticle
rdl.citation.openalex0
rdl.citation.scopus0
rdl.oa.statusgold
rdl.oa.urlhttps://doi.org/10.31202/ecjse.1843205
rdl.scopus.quartileQ4
rdl.sdgSDG09
rdl.source.indexSCOPUS