{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,15]],"date-time":"2025-08-15T02:08:24Z","timestamp":1755223704564,"version":"3.43.0"},"reference-count":29,"publisher":"World Scientific Pub Co Pte Ltd","issue":"12","funder":[{"name":"Science and Technology Projects of the Big Data Center, State Grid Corporation of China","award":["SGSJ0000HGJS2400085"],"award-info":[{"award-number":["SGSJ0000HGJS2400085"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[2025,9,30]]},"abstract":"<jats:p> Identifying sensitive text data remains a critical challenge for industrial data protection, as conventional methods lack flexibility and demand extensive manual labeling. While Large Language Models (LLMs) offer a promising avenue for automated sensitive data recognition (SDR), their susceptibility to \u201challucination\u201d often leads to misclassification. To overcome this, we introduce an LLM-based SDR framework powered by stepwise Chain-of-Thought (CoT) reasoning. Our approach employs a rigorously designed prompt template to enable LLMs to iteratively reassess and refine their output, leading to precise identification of sensitive text positions and highly fine-grained recognition results. Experiments on a real-world dataset from the electric sector demonstrate the superior performance of our method in domain-specific SDR tasks, highlighting its strong potential for robust and scalable application in complex industrial environments. <\/jats:p>","DOI":"10.1142\/s0218001425500193","type":"journal-article","created":{"date-parts":[[2025,6,13]],"date-time":"2025-06-13T00:11:24Z","timestamp":1749773484000},"source":"Crossref","is-referenced-by-count":0,"title":["LLM-Based Sensitive Data Recognition with Stepwise Chain-of-Thought Reasoning"],"prefix":"10.1142","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-2330-0123","authenticated-orcid":false,"given":"Honggang","family":"Wang","sequence":"first","affiliation":[{"name":"Big Data Center, State Grid Co. of China Beijing, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7175-0138","authenticated-orcid":false,"given":"Shenglong","family":"Liu","sequence":"additional","affiliation":[{"name":"Big Data Center, State Grid Co. of China Beijing, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-4626-4688","authenticated-orcid":false,"given":"Yiwen","family":"Jiang","sequence":"additional","affiliation":[{"name":"Big Data Center, State Grid Co. of China Beijing, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-4289-8238","authenticated-orcid":false,"given":"Zhenqi","family":"Guo","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Tongji University, Shanghai, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1496-552X","authenticated-orcid":false,"given":"Jiehao","family":"Tang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Tongji University, Shanghai, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2025,7,23]]},"reference":[{"key":"S0218001425500193BIB001","doi-asserted-by":"publisher","DOI":"10.70445\/gjus.1.1.2024.190-225"},{"volume-title":"The Twelfth Int. Conf. Learning Representations","year":"2024","author":"Asai A.","key":"S0218001425500193BIB004"},{"volume-title":"AAAI Conf. Artificial Intelligence","year":"2025","author":"Asthana S.","key":"S0218001425500193BIB005"},{"key":"S0218001425500193BIB008","doi-asserted-by":"publisher","DOI":"10.1145\/3442188.3445922"},{"key":"S0218001425500193BIB009","doi-asserted-by":"publisher","DOI":"10.1109\/BigData55660.2022.10020584"},{"key":"S0218001425500193BIB010","first-page":"1877","volume":"33","author":"Brown T.","year":"2020","journal-title":"Adv. Neural Inform. Proc. Syst."},{"key":"S0218001425500193BIB011","doi-asserted-by":"publisher","DOI":"10.4018\/IJCRE.2021010106"},{"key":"S0218001425500193BIB015","doi-asserted-by":"publisher","DOI":"10.1007\/s00146-021-01367-x"},{"volume-title":"Proc. 36th Int. Conf. Neural Information Processing Systems, NIPS \u201922","year":"2022","author":"Kojima T.","key":"S0218001425500193BIB016"},{"issue":"9","key":"S0218001425500193BIB017","first-page":"508","volume":"12","author":"Kulkarni P.","year":"2021","journal-title":"Int. J. Adv. Comput. Sci. Appl."},{"key":"S0218001425500193BIB018","doi-asserted-by":"publisher","DOI":"10.23919\/MIPRO52101.2021.9596735"},{"key":"S0218001425500193BIB020","doi-asserted-by":"publisher","DOI":"10.1007\/s11704-024-31018-5"},{"issue":"6","key":"S0218001425500193BIB021","first-page":"e40895","volume":"15","author":"Li Y.","year":"2023","journal-title":"Cureus"},{"key":"S0218001425500193BIB022","doi-asserted-by":"publisher","DOI":"10.1007\/s11704-023-3008-x"},{"key":"S0218001425500193BIB024","doi-asserted-by":"publisher","DOI":"10.1145\/3439726"},{"issue":"1","key":"S0218001425500193BIB025","first-page":"69","volume":"4","author":"Osakwe J.","year":"2025","journal-title":"Int. J. Inform. Security"},{"key":"S0218001425500193BIB027","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2019.2907247"},{"key":"S0218001425500193BIB028","doi-asserted-by":"publisher","DOI":"10.1080\/09540091.2023.2298310"},{"key":"S0218001425500193BIB029","doi-asserted-by":"publisher","DOI":"10.3390\/fi14110302"},{"key":"S0218001425500193BIB030","doi-asserted-by":"publisher","DOI":"10.1007\/s10207-022-00607-5"},{"key":"S0218001425500193BIB031","first-page":"24824","volume":"35","author":"Wei J.","year":"2022","journal-title":"Adv. Neural Inform. Process. Syst."},{"key":"S0218001425500193BIB032","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2023.123618"},{"key":"S0218001425500193BIB033","doi-asserted-by":"publisher","DOI":"10.1145\/3603626"},{"key":"S0218001425500193BIB034","doi-asserted-by":"publisher","DOI":"10.1109\/BigData59044.2023.10386949"},{"volume-title":"Int. Conf. Learning Representations (ICLR)","year":"2023","author":"Yao S.","key":"S0218001425500193BIB035"},{"key":"S0218001425500193BIB037","doi-asserted-by":"publisher","DOI":"10.1007\/s11704-023-2791-8"},{"key":"S0218001425500193BIB038","first-page":"1","volume-title":"The Thirteenth International Conference on Learning Representations","author":"Zhang G.","year":"2025"},{"key":"S0218001425500193BIB039","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2022.3153261"},{"key":"S0218001425500193BIB040","doi-asserted-by":"publisher","DOI":"10.7717\/peerj-cs.570"}],"container-title":["International Journal of Pattern Recognition and Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218001425500193","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,12]],"date-time":"2025-08-12T06:25:04Z","timestamp":1754979904000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/10.1142\/S0218001425500193"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,23]]},"references-count":29,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2025,9,30]]}},"alternative-id":["10.1142\/S0218001425500193"],"URL":"https:\/\/doi.org\/10.1142\/s0218001425500193","relation":{},"ISSN":["0218-0014","1793-6381"],"issn-type":[{"type":"print","value":"0218-0014"},{"type":"electronic","value":"1793-6381"}],"subject":[],"published":{"date-parts":[[2025,7,23]]},"article-number":"2550019"}}