{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T12:57:45Z","timestamp":1782824265783,"version":"3.54.5"},"reference-count":51,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2023,4,18]],"date-time":"2023-04-18T00:00:00Z","timestamp":1681776000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Health equipment are used to keep track of significant health indicators, automate health interventions, and analyze health indicators. People have begun using mobile applications to track health characteristics and medical demands because devices are now linked to high-speed internet and mobile phones. Such a combination of smart devices, the internet, and mobile applications expands the usage of remote health monitoring through the Internet of Medical Things (IoMT). The accessibility and unpredictable aspects of IoMT create massive security and confidentiality threats in IoMT systems. In this paper, Octopus and Physically Unclonable Functions (PUFs) are used to provide privacy to the healthcare device by masking the data, and machine learning (ML) techniques are used to retrieve the health data back and reduce security breaches on networks. This technique has exhibited 99.45% accuracy, which proves that this technique could be used to secure health data with masking.<\/jats:p>","DOI":"10.3390\/s23084082","type":"journal-article","created":{"date-parts":[[2023,4,19]],"date-time":"2023-04-19T01:39:05Z","timestamp":1681868345000},"page":"4082","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Octopus: A Novel Approach for Health Data Masking and Retrieving Using Physical Unclonable Functions and Machine Learning"],"prefix":"10.3390","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0386-646X","authenticated-orcid":false,"given":"Sagar","family":"Satra","sequence":"first","affiliation":[{"name":"College of Science and Engineering, Central Michigan University, Mount Pleasant, MI 48858, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1847-1973","authenticated-orcid":false,"given":"Pintu Kumar","family":"Sadhu","sequence":"additional","affiliation":[{"name":"College of Science and Engineering, Central Michigan University, Mount Pleasant, MI 48858, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4625-8050","authenticated-orcid":false,"given":"Venkata P.","family":"Yanambaka","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Computer Science, Texas Woman\u2019s University, Denton, TX 76204, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6655-2065","authenticated-orcid":false,"given":"Ahmed","family":"Abdelgawad","sequence":"additional","affiliation":[{"name":"College of Science and Engineering, Central Michigan University, Mount Pleasant, MI 48858, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,4,18]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"89967","DOI":"10.1109\/ACCESS.2019.2927082","article-title":"A Decade of Internet of Things: Analysis in the Light of Healthcare Applications","volume":"7","author":"Almogren","year":"2019","journal-title":"IEEE Access"},{"key":"ref_2","first-page":"777","article-title":"Energy-aware duty cycle scheduling for efficient data collection in wireless sensor networks","volume":"2","author":"John","year":"2013","journal-title":"IJARCET Vol."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"775","DOI":"10.1080\/02564602.2021.1927863","article-title":"Internet of Medical Things (IoMT): Overview, Emerging Technologies, and Case Studies","volume":"39","author":"Razdan","year":"2021","journal-title":"IETE Tech. 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