Satyajit Ghosh, Rakibul Islam, A. Jaman, Aratrika Bose, Abhishek Roy
{"title":"ChainHire: A Privacy-Preserving and Transparent Job Search Portal Using an Enterprise-Level Permissioned Blockchain Framework","authors":"Satyajit Ghosh, Rakibul Islam, A. Jaman, Aratrika Bose, Abhishek Roy","doi":"10.1109/AICAPS57044.2023.10074582","DOIUrl":null,"url":null,"abstract":"Finding a suitable employment position is a crucial and difficult task. Nowadays, Job seekers may instantly apply for multiple job openings using job search platforms. Personal information has to be exchanged as part of every job application. Sharing personal information across unsafe channels, however, increases the risk of data theft. Apart from that, attempts to tamper with hiring data are unfortunately common. Previously, traditional databases were only used for job search platforms, which do not provide sufficient transparency or protection against tampering. The incorporation of blockchain technology in job search portals can address these issues and provide a more transparent and secure process. Our proposed solution uses Hyperledger Fabric (HLF), an open-source blockchain frame-work, to create a secure and transparent job search platform. In this platform, both recruiters and job seekers can participate in a permissioned network, where smart contracts are used to ensure a transparent and privacy-friendly hiring process. To demonstrate the feasibility of this solution, we have implemented and deployed a prototype using Amazon Managed Blockchain Service. To understand the optimal configuration for our system, we tested the performance of our network using the Hyperledger Caliper tool. Although further research is necessary to fully understand the capabilities and limitations of using blockchain technology in job search portals.","PeriodicalId":146698,"journal":{"name":"2023 International Conference on Advances in Intelligent Computing and Applications (AICAPS)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Advances in Intelligent Computing and Applications (AICAPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AICAPS57044.2023.10074582","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Finding a suitable employment position is a crucial and difficult task. Nowadays, Job seekers may instantly apply for multiple job openings using job search platforms. Personal information has to be exchanged as part of every job application. Sharing personal information across unsafe channels, however, increases the risk of data theft. Apart from that, attempts to tamper with hiring data are unfortunately common. Previously, traditional databases were only used for job search platforms, which do not provide sufficient transparency or protection against tampering. The incorporation of blockchain technology in job search portals can address these issues and provide a more transparent and secure process. Our proposed solution uses Hyperledger Fabric (HLF), an open-source blockchain frame-work, to create a secure and transparent job search platform. In this platform, both recruiters and job seekers can participate in a permissioned network, where smart contracts are used to ensure a transparent and privacy-friendly hiring process. To demonstrate the feasibility of this solution, we have implemented and deployed a prototype using Amazon Managed Blockchain Service. To understand the optimal configuration for our system, we tested the performance of our network using the Hyperledger Caliper tool. Although further research is necessary to fully understand the capabilities and limitations of using blockchain technology in job search portals.