2026-10-30T01:50:54Zhttps://bayburt-rdlopen.rawdatalibrary.net/oai/requestoai:bayburt-rdlopen.rawdatalibrary.net:bayburt/109242026-10-29T19:40:58Zopenairedrivercom_bayburt_10000col_bayburt_10001com_bayburt_10007col_bayburt_10227Experience-Based Decentralized Marketing and Advertising (Ex-Mad): A Blockchain Framework for Transparent and Fair Digital CampaignsAyberkin, DorukÖzen, ÜstünBlockchain TechnologyDigital Advertising ArchitectureDistributed SystemsIPFS (Interplanetary File System)Smart ContractsThe 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.TUBITAK2026Articlehttps://rdlopen.rawdatalibrary.net/r/bayburt/10924https://doi.org/10.31202/ecjse.18432052148-3736enEl-Cezeri Journal of Science and Engineeringinfo:eu-repo/semantics/openAccessinfo:eu-repo/semantics/articlehttps://bayburt-rdlopen.rawdatalibrary.net/tr/items/bayburt/10924