{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T03:19:47Z","timestamp":1783567187774,"version":"3.55.0"},"reference-count":30,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2024,3,28]],"date-time":"2024-03-28T00:00:00Z","timestamp":1711584000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Basic Research Project of the National Defense Science and Industry Bureau","award":["JCKY2022405C010"],"award-info":[{"award-number":["JCKY2022405C010"]}]},{"name":"Basic Research Project of the National Defense Science and Industry Bureau","award":["F2B6A194"],"award-info":[{"award-number":["F2B6A194"]}]},{"name":"Translational Application Project of the \u201cWise Eyes Action\u201d","award":["JCKY2022405C010"],"award-info":[{"award-number":["JCKY2022405C010"]}]},{"name":"Translational Application Project of the \u201cWise Eyes Action\u201d","award":["F2B6A194"],"award-info":[{"award-number":["F2B6A194"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Future Internet"],"abstract":"<jats:p>To address the challenge of balancing privacy protection with regulatory oversight in blockchain transactions, we propose a regulatable privacy protection scheme for blockchain transactions. Our scheme utilizes probabilistic public-key encryption to obscure the true identities of blockchain transaction participants. By integrating commitment schemes and zero-knowledge proof techniques with deep learning graph neural network technology, it provides privacy protection and regulatory analysis of blockchain transaction data. This approach not only prevents the leakage of sensitive transaction information, but also achieves regulatory capabilities at both macro and micro levels, ensuring the verification of the legality of transactions. By adopting an identity-based encryption system, regulatory bodies can conduct personalized supervision of blockchain transactions without storing users\u2019 actual identities and key data, significantly reducing storage computation and key management burdens. Our scheme is independent of any particular consensus mechanism and can be applied to current blockchain technologies. Simulation experiments and complexity analysis demonstrate the practicality of the scheme.<\/jats:p>","DOI":"10.3390\/fi16040113","type":"journal-article","created":{"date-parts":[[2024,3,28]],"date-time":"2024-03-28T12:09:40Z","timestamp":1711627780000},"page":"113","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Research on Blockchain Transaction Privacy Protection Methods Based on Deep Learning"],"prefix":"10.3390","volume":"16","author":[{"given":"Jun","family":"Li","sequence":"first","affiliation":[{"name":"School of Information Management, Beijing Information Science and Technology University, Beijing 100192, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chenyang","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Information Management, Beijing Information Science and Technology University, Beijing 100192, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8765-053X","authenticated-orcid":false,"given":"Jianyi","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computing and Informatics, The University of Louisiana at Lafayette, Lafayette, LA 70504, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanhua","family":"Shao","sequence":"additional","affiliation":[{"name":"National Computer System Engineering Research Institute of China, Beijing 100083, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,3,28]]},"reference":[{"key":"ref_1","unstructured":"Nakamoto, S. 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