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            <name>Title</name>
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                <text>Conference Papers</text>
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    <name>Conference Paper</name>
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              <text>Physical Unclonable Function and OAuth 2.0 Based Secure Authentication Scheme for Internet of Medical Things</text>
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          <name>Subject</name>
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              <text>IoMT; Lightweight authentication; OAuth 2.0; PUF</text>
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              <text>With ubiquitous computing and penetration of high-speed data networks, the Internet of Medical Things (IoMT) has found widespread application. Digital healthcare helps medical professionals monitor patients and provide services remotely. With the increased adoption of IoMT comes an increased risk profile. Private and confidential medical data is gathered across various IoMT devices and transmitted to medical servers. Privacy breach or unauthorized access to personal medical data has far-reaching consequences. However, heterogeneity, limited computational resources, and lack of standardization in authentication schemes prevent a robust IoMT security framework. This paper introduces a secure lightweight authentication and authorization scheme. The use of the Physical Unclonable Function (PUF) reduces pressure on computational resources and establishes the authenticity of the IoMT. The use of OAuth 2.0 open standard for authorization allows interoperability between different vendors. The resilience of the model to impersonation and replay attacks is analyzed.  2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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          <name>Creator</name>
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              <text>Krishnan V.; Cherillath Sukumaran S.</text>
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              <text>Lecture Notes in Networks and Systems, Vol-290, pp. 68-79.</text>
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          <name>Publisher</name>
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              <text>Springer Science and Business Media Deutschland GmbH</text>
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          <name>Date</name>
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              <text>2021-01-01</text>
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          <name>Identifier</name>
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              <text>&lt;a href="https://doi.org/10.1007/978-981-16-4486-3_7" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-981-16-4486-3_7&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115047643&amp;amp;doi=10.1007%2F978-981-16-4486-3_7&amp;amp;partnerID=40&amp;amp;md5=671f983207fd1a56c757866c8eec40a7" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115047643&amp;amp;doi=10.1007%2f978-981-16-4486-3_7&amp;amp;partnerID=40&amp;amp;md5=671f983207fd1a56c757866c8eec40a7&lt;/a&gt;</text>
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          <name>Rights</name>
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              <text>Restricted Access</text>
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              <text>ISSN: 23673370; ISBN: 978-981164485-6</text>
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          <name>Format</name>
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              <text>Online</text>
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          <name>Language</name>
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              <text>English</text>
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              <text>Conference paper</text>
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              <text>Krishnan V., Department of Computer Science, CHRIST (Deemed To Be University), Hosur Road, Bangalore, Karnataka, 560029, India; Cherillath Sukumaran S., Department of Computer Science, CHRIST (Deemed To Be University), Hosur Road, Bangalore, Karnataka, 560029, India</text>
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