DEBPIR: enhancing information privacy in decentralized business modeling
Abstract Business modelling often involves extensive data collection and analysis, raising concerns about privacy infringement. Integrating Privacy Information Retrieval (PIR) mechanisms within business models is crucial to address privacy concerns, ensure compliance with regulations, safeguard sens...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-05-01
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| Series: | Complex & Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s40747-025-01868-y |
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| Summary: | Abstract Business modelling often involves extensive data collection and analysis, raising concerns about privacy infringement. Integrating Privacy Information Retrieval (PIR) mechanisms within business models is crucial to address privacy concerns, ensure compliance with regulations, safeguard sensitive data, and maintain trust with stakeholders; however, PIR is not included in the existing business models yet. In this paper, we propose the first decentralized business model that uses the PIR. We call our proposed model DEcentralized Business model with PIR (DEBPIR). DEBPIR uses a smart contract for PIR and encryption to share the privacy of classified information. We execute a thorough set of experiments on DEBPIR and evaluate the results based on privacy attainment, latency, and throughput. We also perform a comparative analysis between our proposed DEBPIR and the existing models; we observe that DEBPIR outperforms the existing models and provides $$95\%$$ 95 % privacy attainment. The latency and throughput of our proposed DEBPIR do not outgrow compared to the existing models. Thus, DEBPIR is an efficient solution for business models. |
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| ISSN: | 2199-4536 2198-6053 |