Secure and efficient graduate employment: A consortium blockchain framework with InterPlanetary file system for privacy-preserving resume management and efficient talent-employer matching

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Publicado en:PLoS One vol. 20, no. 8 (Aug 2025), p. e0315277
Autor principal: Chin-Ling, Chen
Otros Autores: Kuang-Wei Zeng, Hsing-Chung, Chen, Yong-Yuan, Deng, Chin-Feng, Lee, Der-Chen, Huang, Ling-Chun, Liu
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Public Library of Science
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100 1 |a Chin-Ling, Chen 
245 1 |a Secure and efficient graduate employment: A consortium blockchain framework with InterPlanetary file system for privacy-preserving resume management and efficient talent-employer matching 
260 |b Public Library of Science  |c Aug 2025 
513 |a Journal Article 
520 3 |a In recent years, the unemployment situation of teenagers has become increasingly serious, and many college students face the problem of unemployment upon graduation. Concurrently, Companies need more support in their talent acquisition processes, including high costs, security concerns, inefficiencies, and time-consuming sourcing procedures. Moreover, job applicants frequently confront risks associated with potentially compromising their personal information during the application process. Since blockchain technology has the characteristics of non-tampering, traceability, and non-repudiation, it has outstanding significance for solving the trust problem between organizations. Blockchain has emerged as a powerful tool for tackling talent acquisition campaigns. This study proposes a novel approach utilizing consortium chain technology in conjunction with the InterPlanetary File System (IPFS) to develop a decentralized talent recruitment system. This approach enables students, educational institutions, and potential employers to encrypt and upload data to the blockchain through consortium chain technology, with strict access controls requiring student authorization for resume data retrieval. The proposed system facilitates a symbiotic relationship between educational institutions and industry partners, allowing students to identify suitable employment opportunities while enabling companies to source candidates with requisite expertise efficiently. Finally, the system could meet the characteristic requirements of various blockchains, perform well in terms of communication cost, computing cost, throughput, and transaction delay in the blockchain, and contribute to solving talent recruitment. 
653 |a Students 
653 |a Consortia 
653 |a Employment 
653 |a Communication 
653 |a Professional development 
653 |a Blockchain 
653 |a Privacy 
653 |a Applicants 
653 |a Access control 
653 |a Data retrieval 
653 |a Colleges & universities 
653 |a Labor market 
653 |a Big Data 
653 |a Young adults 
653 |a Data integrity 
653 |a Distributed ledger 
653 |a Information storage 
653 |a Education 
653 |a Recruitment 
653 |a Computing costs 
653 |a Decentralization 
653 |a Unemployment 
653 |a Job hunting 
653 |a Smart contracts 
653 |a Equal rights 
653 |a Fraud 
653 |a Social 
653 |a Economic 
700 1 |a Kuang-Wei Zeng 
700 1 |a Hsing-Chung, Chen 
700 1 |a Yong-Yuan, Deng 
700 1 |a Chin-Feng, Lee 
700 1 |a Der-Chen, Huang 
700 1 |a Ling-Chun, Liu 
773 0 |t PLoS One  |g vol. 20, no. 8 (Aug 2025), p. e0315277 
786 0 |d ProQuest  |t Health & Medical Collection 
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