{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T10:20:43Z","timestamp":1777890043737,"version":"3.51.4"},"reference-count":37,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[2023,5,29]],"date-time":"2023-05-29T00:00:00Z","timestamp":1685318400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Web Intelligence"],"published-print":{"date-parts":[[2023,11,29]]},"abstract":"<jats:p>\n                    The major intention of this research is to propose a secure authentication protocol for healthcare services in IoT based on a developed Q-Net-based secret key. Nine phases are included in the model. The sensor node, IoT device center, gateway node, and medical professional are the four entities involved in the key generation process. The designed model derived a mathematical model, which utilized hashing function, XOR, Chebyshev polynomial, passwords, encryption algorithm, secret keys, and other security operations for performing effective authentication. Here, the secret key is generated with the Deep Q-Net-based sub-key generation approach. The proposed method achieved the minimum computation time of 169xe\n                    <jats:sup>9<\/jats:sup>\n                    ns, minimum memory usage is 71.38, and the obtained maximum detection rate is 0.957 for 64 key lengths. The secure authentication using the proposed method is accurate and improves the effectiveness of the system\u2019s security.\n                  <\/jats:p>","DOI":"10.3233\/web-220104","type":"journal-article","created":{"date-parts":[[2023,5,30]],"date-time":"2023-05-30T11:32:52Z","timestamp":1685446372000},"page":"407-433","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":2,"title":["A secure authentication protocol for healthcare service in IoT with Q-net based secret key generation"],"prefix":"10.1177","volume":"21","author":[{"given":"Rupali","family":"Mahajan","sequence":"first","affiliation":[{"name":"Department of Computer Engineering, Vishwakarma Institute of Information Technology, Kondhwa (BK), Pune 411048, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Smita","family":"Chavan","sequence":"additional","affiliation":[{"name":"Department of Information Technology, Government College of Engineering Aurangabad, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Deepika Amol","family":"Ajalkar","sequence":"additional","affiliation":[{"name":"Department of Information Technology, G. 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Raisoni College of Engineering and Management, Pune, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Balshetwar","family":"SV","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Faculty of Engineering, YSPMs Yashoda Technical Campus, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Prajakta Ajay","family":"Khadkikar","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering, SCTR\u2019s Pune Institute of Computer Technology, Pune, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2023,5,29]]},"reference":[{"key":"ref001","doi-asserted-by":"crossref","unstructured":"A.K.\u00a0Agrahari, S.\u00a0Varma and S.\u00a0Venkatesan, Two factor authentication protocol for IoT based healthcare monitoring system,\n                      Journal of Ambient Intelligence and Humanized Computing\n                      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